- GCP_SIGNED_URL_VALUE - Static variable in enum com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialType
-
The credential is a GCP Signed URL.
- getArchiveExistingVersions() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
When transitioning a model version to a particular stage, this flag dictates whether all
existing model versions in that stage should be atomically moved to the "archived" stage.
- getArchiveExistingVersions() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
When transitioning a model version to a particular stage, this flag dictates whether all
existing model versions in that stage should be atomically moved to the "archived" stage.
- getArchiveExistingVersions() - Method in interface org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStageOrBuilder
-
When transitioning a model version to a particular stage, this flag dictates whether all
existing model versions in that stage should be atomically moved to the "archived" stage.
- getArtifactLocation() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
Location where all artifacts for the experiment are stored.
- getArtifactLocation() - Method in class org.mlflow.api.proto.Service.CreateExperiment
-
Location where all artifacts for the experiment are stored.
- getArtifactLocation() - Method in interface org.mlflow.api.proto.Service.CreateExperimentOrBuilder
-
Location where all artifacts for the experiment are stored.
- getArtifactLocation() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Location where artifacts for the experiment are stored.
- getArtifactLocation() - Method in class org.mlflow.api.proto.Service.Experiment
-
Location where artifacts for the experiment are stored.
- getArtifactLocation() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Location where artifacts for the experiment are stored.
- getArtifactLocationBytes() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
Location where all artifacts for the experiment are stored.
- getArtifactLocationBytes() - Method in class org.mlflow.api.proto.Service.CreateExperiment
-
Location where all artifacts for the experiment are stored.
- getArtifactLocationBytes() - Method in interface org.mlflow.api.proto.Service.CreateExperimentOrBuilder
-
Location where all artifacts for the experiment are stored.
- getArtifactLocationBytes() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Location where artifacts for the experiment are stored.
- getArtifactLocationBytes() - Method in class org.mlflow.api.proto.Service.Experiment
-
Location where artifacts for the experiment are stored.
- getArtifactLocationBytes() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Location where artifacts for the experiment are stored.
- getArtifactUri() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response.Builder
-
URI corresponding to where artifacts for this model version are stored.
- getArtifactUri() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response
-
URI corresponding to where artifacts for this model version are stored.
- getArtifactUri() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.ResponseOrBuilder
-
URI corresponding to where artifacts for this model version are stored.
- getArtifactUri() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
URI of the directory where artifacts should be uploaded.
- getArtifactUri() - Method in class org.mlflow.api.proto.Service.RunInfo
-
URI of the directory where artifacts should be uploaded.
- getArtifactUri() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
URI of the directory where artifacts should be uploaded.
- getArtifactUri() - Method in class org.mlflow.tracking.ActiveRun
-
Get the absolute URI of the run artifact directory root.
- getArtifactUriBytes() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response.Builder
-
URI corresponding to where artifacts for this model version are stored.
- getArtifactUriBytes() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response
-
URI corresponding to where artifacts for this model version are stored.
- getArtifactUriBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.ResponseOrBuilder
-
URI corresponding to where artifacts for this model version are stored.
- getArtifactUriBytes() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
URI of the directory where artifacts should be uploaded.
- getArtifactUriBytes() - Method in class org.mlflow.api.proto.Service.RunInfo
-
URI of the directory where artifacts should be uploaded.
- getArtifactUriBytes() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
URI of the directory where artifacts should be uploaded.
- getBodyMessage() - Method in exception org.mlflow.tracking.MlflowHttpException
-
- getClient() - Method in class org.mlflow.tracking.MlflowContext
-
Returns the client used to log runs.
- getClientVersion() - Static method in class org.mlflow.tracking.MlflowClientVersion
-
- getConfigProviderIfAvailable(String) - Static method in class org.mlflow.tracking.utils.DatabricksContext
-
- getCreationTime() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Creation time
- getCreationTime() - Method in class org.mlflow.api.proto.Service.Experiment
-
Creation time
- getCreationTime() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Creation time
- getCreationTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Timestamp recorded when this ``model_version`` was created.
- getCreationTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Timestamp recorded when this ``model_version`` was created.
- getCreationTimestamp() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Timestamp recorded when this ``model_version`` was created.
- getCreationTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Timestamp recorded when this ``registered_model`` was created.
- getCreationTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Timestamp recorded when this ``registered_model`` was created.
- getCreationTimestamp() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Timestamp recorded when this ``registered_model`` was created.
- getCredentialInfos(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
Credentials for reading from the specified artifact locations
- getCredentialInfos(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
Credentials for reading from the specified artifact locations
- getCredentialInfos(int) - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.ResponseOrBuilder
-
Credentials for reading from the specified artifact locations
- getCredentialInfos(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
Credentials for writing to the specified artifact locations
- getCredentialInfos(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
Credentials for writing to the specified artifact locations
- getCredentialInfos(int) - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.ResponseOrBuilder
-
Credentials for writing to the specified artifact locations
- getCredentialInfosBuilder(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
Credentials for reading from the specified artifact locations
- getCredentialInfosBuilder(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
Credentials for writing to the specified artifact locations
- getCredentialInfosBuilderList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
Credentials for reading from the specified artifact locations
- getCredentialInfosBuilderList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
Credentials for writing to the specified artifact locations
- getCredentialInfosCount() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
Credentials for reading from the specified artifact locations
- getCredentialInfosCount() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
Credentials for reading from the specified artifact locations
- getCredentialInfosCount() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.ResponseOrBuilder
-
Credentials for reading from the specified artifact locations
- getCredentialInfosCount() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
Credentials for writing to the specified artifact locations
- getCredentialInfosCount() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
Credentials for writing to the specified artifact locations
- getCredentialInfosCount() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.ResponseOrBuilder
-
Credentials for writing to the specified artifact locations
- getCredentialInfosList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
Credentials for reading from the specified artifact locations
- getCredentialInfosList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
Credentials for reading from the specified artifact locations
- getCredentialInfosList() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.ResponseOrBuilder
-
Credentials for reading from the specified artifact locations
- getCredentialInfosList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
Credentials for writing to the specified artifact locations
- getCredentialInfosList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
Credentials for writing to the specified artifact locations
- getCredentialInfosList() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.ResponseOrBuilder
-
Credentials for writing to the specified artifact locations
- getCredentialInfosOrBuilder(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
Credentials for reading from the specified artifact locations
- getCredentialInfosOrBuilder(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
Credentials for reading from the specified artifact locations
- getCredentialInfosOrBuilder(int) - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.ResponseOrBuilder
-
Credentials for reading from the specified artifact locations
- getCredentialInfosOrBuilder(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
Credentials for writing to the specified artifact locations
- getCredentialInfosOrBuilder(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
Credentials for writing to the specified artifact locations
- getCredentialInfosOrBuilder(int) - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.ResponseOrBuilder
-
Credentials for writing to the specified artifact locations
- getCredentialInfosOrBuilderList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
Credentials for reading from the specified artifact locations
- getCredentialInfosOrBuilderList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
Credentials for reading from the specified artifact locations
- getCredentialInfosOrBuilderList() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.ResponseOrBuilder
-
Credentials for reading from the specified artifact locations
- getCredentialInfosOrBuilderList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
Credentials for writing to the specified artifact locations
- getCredentialInfosOrBuilderList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
Credentials for writing to the specified artifact locations
- getCredentialInfosOrBuilderList() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.ResponseOrBuilder
-
Credentials for writing to the specified artifact locations
- getCurrentStage() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Current stage for this ``model_version``.
- getCurrentStage() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Current stage for this ``model_version``.
- getCurrentStage() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Current stage for this ``model_version``.
- getCurrentStageBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Current stage for this ``model_version``.
- getCurrentStageBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Current stage for this ``model_version``.
- getCurrentStageBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Current stage for this ``model_version``.
- getData() - Method in class org.mlflow.api.proto.Service.Run.Builder
-
Run data.
- getData() - Method in class org.mlflow.api.proto.Service.Run
-
Run data.
- getData() - Method in interface org.mlflow.api.proto.Service.RunOrBuilder
-
Run data.
- getDataBuilder() - Method in class org.mlflow.api.proto.Service.Run.Builder
-
Run data.
- getDataOrBuilder() - Method in class org.mlflow.api.proto.Service.Run.Builder
-
Run data.
- getDataOrBuilder() - Method in class org.mlflow.api.proto.Service.Run
-
Run data.
- getDataOrBuilder() - Method in interface org.mlflow.api.proto.Service.RunOrBuilder
-
Run data.
- getDefaultInstance() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
- getDefaultInstance() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader
-
- getDefaultInstance() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
- getDefaultInstance() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
- getDefaultInstance() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
- getDefaultInstance() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.CreateExperiment
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.CreateExperiment.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.CreateRun
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.CreateRun.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.DeleteExperiment
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.DeleteExperiment.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.DeleteRun
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.DeleteRun.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.DeleteTag
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.DeleteTag.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.Experiment
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.ExperimentTag
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.FileInfo
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.GetExperiment
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.GetExperimentByName
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.GetExperimentByName.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.GetMetricHistory
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.GetMetricHistory.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.GetRun
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.GetRun.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.ListArtifacts
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.ListExperiments
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.LogBatch
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.LogBatch.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.LogMetric
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.LogMetric.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.LogModel
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.LogModel.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.LogParam
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.LogParam.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.Metric
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.Param
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.RestoreExperiment
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.RestoreExperiment.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.RestoreRun
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.RestoreRun.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.Run
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.RunData
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.RunInfo
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.RunTag
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.SearchRuns
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.SetExperimentTag
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.SetExperimentTag.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.SetTag
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.SetTag.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.UpdateExperiment
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.UpdateExperiment.Response
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.UpdateRun
-
- getDefaultInstance() - Static method in class org.mlflow.api.proto.Service.UpdateRun.Response
-
- getDefaultInstanceForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
- getDefaultInstanceForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
- getDefaultInstanceForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
- getDefaultInstanceForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader
-
- getDefaultInstanceForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
- getDefaultInstanceForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
- getDefaultInstanceForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
- getDefaultInstanceForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
- getDefaultInstanceForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
- getDefaultInstanceForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
- getDefaultInstanceForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
- getDefaultInstanceForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.CreateExperiment
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.CreateRun
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.CreateRun.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.CreateRun.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.DeleteExperiment
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.DeleteRun.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.DeleteRun
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.DeleteRun.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.DeleteRun.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.DeleteTag
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.DeleteTag.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.DeleteTag.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.Experiment
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.ExperimentTag
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.FileInfo
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetExperiment.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetExperiment
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetExperimentByName
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetMetricHistory
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetRun
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetRun.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.GetRun.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.ListExperiments
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogBatch
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogBatch.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogBatch.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogMetric
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogMetric.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogMetric.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogModel
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogModel.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogModel.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogParam
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogParam.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.LogParam.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.Metric
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.Param.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.Param
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.RestoreExperiment
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.RestoreRun.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.RestoreRun
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.RestoreRun.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.RestoreRun.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.Run.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.Run
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.RunData
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.RunInfo
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.RunTag
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.SetExperimentTag
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.SetTag
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.SetTag.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.SetTag.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.UpdateExperiment
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Response
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.UpdateRun.Response.Builder
-
- getDefaultInstanceForType() - Method in class org.mlflow.api.proto.Service.UpdateRun.Response
-
- getDescription() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Optional description for model version.
- getDescription() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
Optional description for model version.
- getDescription() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
Optional description for model version.
- getDescription() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Optional description for registered model.
- getDescription() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
Optional description for registered model.
- getDescription() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateRegisteredModelOrBuilder
-
Optional description for registered model.
- getDescription() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Description of this ``model_version``.
- getDescription() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Description of this ``model_version``.
- getDescription() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Description of this ``model_version``.
- getDescription() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Description of this ``registered_model``.
- getDescription() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Description of this ``registered_model``.
- getDescription() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Description of this ``registered_model``.
- getDescription() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
If provided, updates the description for this ``registered_model``.
- getDescription() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
If provided, updates the description for this ``registered_model``.
- getDescription() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateModelVersionOrBuilder
-
If provided, updates the description for this ``registered_model``.
- getDescription() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
If provided, updates the description for this ``registered_model``.
- getDescription() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel
-
If provided, updates the description for this ``registered_model``.
- getDescription() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModelOrBuilder
-
If provided, updates the description for this ``registered_model``.
- getDescriptionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Optional description for model version.
- getDescriptionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
Optional description for model version.
- getDescriptionBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
Optional description for model version.
- getDescriptionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Optional description for registered model.
- getDescriptionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
Optional description for registered model.
- getDescriptionBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateRegisteredModelOrBuilder
-
Optional description for registered model.
- getDescriptionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Description of this ``model_version``.
- getDescriptionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Description of this ``model_version``.
- getDescriptionBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Description of this ``model_version``.
- getDescriptionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Description of this ``registered_model``.
- getDescriptionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Description of this ``registered_model``.
- getDescriptionBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Description of this ``registered_model``.
- getDescriptionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
If provided, updates the description for this ``registered_model``.
- getDescriptionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
If provided, updates the description for this ``registered_model``.
- getDescriptionBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateModelVersionOrBuilder
-
If provided, updates the description for this ``registered_model``.
- getDescriptionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
If provided, updates the description for this ``registered_model``.
- getDescriptionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel
-
If provided, updates the description for this ``registered_model``.
- getDescriptionBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModelOrBuilder
-
If provided, updates the description for this ``registered_model``.
- getDescriptor() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
- getDescriptor() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
- getDescriptor() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
- getDescriptor() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader
-
- getDescriptor() - Static method in enum com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialType
-
- getDescriptor() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
- getDescriptor() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
- getDescriptor() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
- getDescriptor() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
- getDescriptor() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
- getDescriptor() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
- getDescriptor() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
- getDescriptor() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
- getDescriptor() - Static method in class com.databricks.api.proto.mlflow.DatabricksArtifacts
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
- getDescriptor() - Static method in enum org.mlflow.api.proto.ModelRegistry.ModelVersionStatus
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.CreateExperiment
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.CreateExperiment.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.CreateExperiment.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.CreateRun
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.CreateRun.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.CreateRun.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.DeleteExperiment.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.DeleteExperiment
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.DeleteExperiment.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.DeleteExperiment.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.DeleteRun.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.DeleteRun
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.DeleteRun.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.DeleteRun.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.DeleteTag
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.DeleteTag.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.DeleteTag.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.Experiment.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.Experiment
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.ExperimentTag
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.FileInfo
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetExperiment.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetExperiment
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetExperimentByName.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetExperimentByName
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetExperimentByName.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetExperimentByName.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetMetricHistory
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetMetricHistory.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetRun.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetRun
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetRun.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.GetRun.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.ListArtifacts
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.ListExperiments
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogBatch
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogBatch.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogBatch.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogMetric
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogMetric.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogMetric.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogModel.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogModel
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogModel.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogModel.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogParam.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogParam
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogParam.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.LogParam.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.Metric.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.Metric
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.Param.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.Param
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.RestoreExperiment.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.RestoreExperiment
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.RestoreExperiment.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.RestoreExperiment.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.RestoreRun.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.RestoreRun
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.RestoreRun.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.RestoreRun.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.Run.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.Run
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.RunData.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.RunData
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.RunInfo
-
- getDescriptor() - Static method in enum org.mlflow.api.proto.Service.RunStatus
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.RunTag.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.RunTag
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.SearchRuns
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.SetExperimentTag
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.SetExperimentTag.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.SetExperimentTag.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.SetTag.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.SetTag
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.SetTag.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.SetTag.Response
-
- getDescriptor() - Static method in enum org.mlflow.api.proto.Service.SourceType
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.UpdateExperiment
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.UpdateExperiment.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.UpdateExperiment.Response
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.UpdateRun
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.UpdateRun.Response.Builder
-
- getDescriptor() - Static method in class org.mlflow.api.proto.Service.UpdateRun.Response
-
- getDescriptor() - Static method in enum org.mlflow.api.proto.Service.ViewType
-
- getDescriptorForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
- getDescriptorForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
- getDescriptorForType() - Method in enum com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialType
-
- getDescriptorForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
- getDescriptorForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
- getDescriptorForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
- getDescriptorForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
- getDescriptorForType() - Method in enum org.mlflow.api.proto.ModelRegistry.ModelVersionStatus
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.CreateRun.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.DeleteRun.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.DeleteRun.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.DeleteTag.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.GetExperiment.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.GetRun.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.LogBatch.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.LogMetric.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.LogModel.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.LogParam.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.Param.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.RestoreRun.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.RestoreRun.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.Run.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
- getDescriptorForType() - Method in enum org.mlflow.api.proto.Service.RunStatus
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.SetTag.Response.Builder
-
- getDescriptorForType() - Method in enum org.mlflow.api.proto.Service.SourceType
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Response.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
- getDescriptorForType() - Method in class org.mlflow.api.proto.Service.UpdateRun.Response.Builder
-
- getDescriptorForType() - Method in enum org.mlflow.api.proto.Service.ViewType
-
- getEndTime() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Unix timestamp of when the run ended in milliseconds.
- getEndTime() - Method in class org.mlflow.api.proto.Service.RunInfo
-
Unix timestamp of when the run ended in milliseconds.
- getEndTime() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
Unix timestamp of when the run ended in milliseconds.
- getEndTime() - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
Unix timestamp in milliseconds of when the run ended.
- getEndTime() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
Unix timestamp in milliseconds of when the run ended.
- getEndTime() - Method in interface org.mlflow.api.proto.Service.UpdateRunOrBuilder
-
Unix timestamp in milliseconds of when the run ended.
- getExperiment() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Experiment details.
- getExperiment() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
Experiment details.
- getExperiment() - Method in interface org.mlflow.api.proto.Service.GetExperiment.ResponseOrBuilder
-
Experiment details.
- getExperiment() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response.Builder
-
Experiment details.
- getExperiment() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response
-
Experiment details.
- getExperiment() - Method in interface org.mlflow.api.proto.Service.GetExperimentByName.ResponseOrBuilder
-
Experiment details.
- getExperiment(String) - Method in class org.mlflow.tracking.MlflowClient
-
- getExperimentBuilder() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Experiment details.
- getExperimentBuilder() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response.Builder
-
Experiment details.
- getExperimentByName(String) - Method in class org.mlflow.tracking.MlflowClient
-
- getExperimentId() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response.Builder
-
Unique identifier for the experiment.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response
-
Unique identifier for the experiment.
- getExperimentId() - Method in interface org.mlflow.api.proto.Service.CreateExperiment.ResponseOrBuilder
-
Unique identifier for the experiment.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
ID of the associated experiment.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.CreateRun
-
ID of the associated experiment.
- getExperimentId() - Method in interface org.mlflow.api.proto.Service.CreateRunOrBuilder
-
ID of the associated experiment.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Builder
-
ID of the associated experiment.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.DeleteExperiment
-
ID of the associated experiment.
- getExperimentId() - Method in interface org.mlflow.api.proto.Service.DeleteExperimentOrBuilder
-
ID of the associated experiment.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Unique identifier for the experiment.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.Experiment
-
Unique identifier for the experiment.
- getExperimentId() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Unique identifier for the experiment.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.GetExperiment.Builder
-
ID of the associated experiment.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.GetExperiment
-
ID of the associated experiment.
- getExperimentId() - Method in interface org.mlflow.api.proto.Service.GetExperimentOrBuilder
-
ID of the associated experiment.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Builder
-
ID of the associated experiment.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.RestoreExperiment
-
ID of the associated experiment.
- getExperimentId() - Method in interface org.mlflow.api.proto.Service.RestoreExperimentOrBuilder
-
ID of the associated experiment.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
The experiment ID.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.RunInfo
-
The experiment ID.
- getExperimentId() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
The experiment ID.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
ID of the experiment under which to log the tag.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.SetExperimentTag
-
ID of the experiment under which to log the tag.
- getExperimentId() - Method in interface org.mlflow.api.proto.Service.SetExperimentTagOrBuilder
-
ID of the experiment under which to log the tag.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
ID of the associated experiment.
- getExperimentId() - Method in class org.mlflow.api.proto.Service.UpdateExperiment
-
ID of the associated experiment.
- getExperimentId() - Method in interface org.mlflow.api.proto.Service.UpdateExperimentOrBuilder
-
ID of the associated experiment.
- getExperimentId() - Method in class org.mlflow.tracking.MlflowContext
-
Returns the experiment ID we are logging to.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response.Builder
-
Unique identifier for the experiment.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response
-
Unique identifier for the experiment.
- getExperimentIdBytes() - Method in interface org.mlflow.api.proto.Service.CreateExperiment.ResponseOrBuilder
-
Unique identifier for the experiment.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
ID of the associated experiment.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.CreateRun
-
ID of the associated experiment.
- getExperimentIdBytes() - Method in interface org.mlflow.api.proto.Service.CreateRunOrBuilder
-
ID of the associated experiment.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Builder
-
ID of the associated experiment.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.DeleteExperiment
-
ID of the associated experiment.
- getExperimentIdBytes() - Method in interface org.mlflow.api.proto.Service.DeleteExperimentOrBuilder
-
ID of the associated experiment.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Unique identifier for the experiment.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.Experiment
-
Unique identifier for the experiment.
- getExperimentIdBytes() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Unique identifier for the experiment.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.GetExperiment.Builder
-
ID of the associated experiment.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.GetExperiment
-
ID of the associated experiment.
- getExperimentIdBytes() - Method in interface org.mlflow.api.proto.Service.GetExperimentOrBuilder
-
ID of the associated experiment.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Builder
-
ID of the associated experiment.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.RestoreExperiment
-
ID of the associated experiment.
- getExperimentIdBytes() - Method in interface org.mlflow.api.proto.Service.RestoreExperimentOrBuilder
-
ID of the associated experiment.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
The experiment ID.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.RunInfo
-
The experiment ID.
- getExperimentIdBytes() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
The experiment ID.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
ID of the experiment under which to log the tag.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.SetExperimentTag
-
ID of the experiment under which to log the tag.
- getExperimentIdBytes() - Method in interface org.mlflow.api.proto.Service.SetExperimentTagOrBuilder
-
ID of the experiment under which to log the tag.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
ID of the associated experiment.
- getExperimentIdBytes() - Method in class org.mlflow.api.proto.Service.UpdateExperiment
-
ID of the associated experiment.
- getExperimentIdBytes() - Method in interface org.mlflow.api.proto.Service.UpdateExperimentOrBuilder
-
ID of the associated experiment.
- getExperimentIds(int) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
List of experiment IDs to search over.
- getExperimentIds(int) - Method in class org.mlflow.api.proto.Service.SearchRuns
-
List of experiment IDs to search over.
- getExperimentIds(int) - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
List of experiment IDs to search over.
- getExperimentIdsBytes(int) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
List of experiment IDs to search over.
- getExperimentIdsBytes(int) - Method in class org.mlflow.api.proto.Service.SearchRuns
-
List of experiment IDs to search over.
- getExperimentIdsBytes(int) - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
List of experiment IDs to search over.
- getExperimentIdsCount() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
List of experiment IDs to search over.
- getExperimentIdsCount() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
List of experiment IDs to search over.
- getExperimentIdsCount() - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
List of experiment IDs to search over.
- getExperimentIdsList() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
List of experiment IDs to search over.
- getExperimentIdsList() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
List of experiment IDs to search over.
- getExperimentIdsList() - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
List of experiment IDs to search over.
- getExperimentName() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Builder
-
Name of the associated experiment.
- getExperimentName() - Method in class org.mlflow.api.proto.Service.GetExperimentByName
-
Name of the associated experiment.
- getExperimentName() - Method in interface org.mlflow.api.proto.Service.GetExperimentByNameOrBuilder
-
Name of the associated experiment.
- getExperimentNameBytes() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Builder
-
Name of the associated experiment.
- getExperimentNameBytes() - Method in class org.mlflow.api.proto.Service.GetExperimentByName
-
Name of the associated experiment.
- getExperimentNameBytes() - Method in interface org.mlflow.api.proto.Service.GetExperimentByNameOrBuilder
-
Name of the associated experiment.
- getExperimentOrBuilder() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Experiment details.
- getExperimentOrBuilder() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
Experiment details.
- getExperimentOrBuilder() - Method in interface org.mlflow.api.proto.Service.GetExperiment.ResponseOrBuilder
-
Experiment details.
- getExperimentOrBuilder() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response.Builder
-
Experiment details.
- getExperimentOrBuilder() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response
-
Experiment details.
- getExperimentOrBuilder() - Method in interface org.mlflow.api.proto.Service.GetExperimentByName.ResponseOrBuilder
-
Experiment details.
- getExperiments(int) - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
All experiments.
- getExperiments(int) - Method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
All experiments.
- getExperiments(int) - Method in interface org.mlflow.api.proto.Service.ListExperiments.ResponseOrBuilder
-
All experiments.
- getExperimentsBuilder(int) - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
All experiments.
- getExperimentsBuilderList() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
All experiments.
- getExperimentsCount() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
All experiments.
- getExperimentsCount() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
All experiments.
- getExperimentsCount() - Method in interface org.mlflow.api.proto.Service.ListExperiments.ResponseOrBuilder
-
All experiments.
- getExperimentsList() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
All experiments.
- getExperimentsList() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
All experiments.
- getExperimentsList() - Method in interface org.mlflow.api.proto.Service.ListExperiments.ResponseOrBuilder
-
All experiments.
- getExperimentsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
All experiments.
- getExperimentsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
All experiments.
- getExperimentsOrBuilder(int) - Method in interface org.mlflow.api.proto.Service.ListExperiments.ResponseOrBuilder
-
All experiments.
- getExperimentsOrBuilderList() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
All experiments.
- getExperimentsOrBuilderList() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
All experiments.
- getExperimentsOrBuilderList() - Method in interface org.mlflow.api.proto.Service.ListExperiments.ResponseOrBuilder
-
All experiments.
- getFiles(int) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
File location and metadata for artifacts.
- getFiles(int) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
File location and metadata for artifacts.
- getFiles(int) - Method in interface org.mlflow.api.proto.Service.ListArtifacts.ResponseOrBuilder
-
File location and metadata for artifacts.
- getFilesBuilder(int) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
File location and metadata for artifacts.
- getFilesBuilderList() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
File location and metadata for artifacts.
- getFilesCount() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
File location and metadata for artifacts.
- getFilesCount() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
File location and metadata for artifacts.
- getFilesCount() - Method in interface org.mlflow.api.proto.Service.ListArtifacts.ResponseOrBuilder
-
File location and metadata for artifacts.
- getFileSize() - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
Size in bytes.
- getFileSize() - Method in class org.mlflow.api.proto.Service.FileInfo
-
Size in bytes.
- getFileSize() - Method in interface org.mlflow.api.proto.Service.FileInfoOrBuilder
-
Size in bytes.
- getFilesList() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
File location and metadata for artifacts.
- getFilesList() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
File location and metadata for artifacts.
- getFilesList() - Method in interface org.mlflow.api.proto.Service.ListArtifacts.ResponseOrBuilder
-
File location and metadata for artifacts.
- getFilesOrBuilder(int) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
File location and metadata for artifacts.
- getFilesOrBuilder(int) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
File location and metadata for artifacts.
- getFilesOrBuilder(int) - Method in interface org.mlflow.api.proto.Service.ListArtifacts.ResponseOrBuilder
-
File location and metadata for artifacts.
- getFilesOrBuilderList() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
File location and metadata for artifacts.
- getFilesOrBuilderList() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
File location and metadata for artifacts.
- getFilesOrBuilderList() - Method in interface org.mlflow.api.proto.Service.ListArtifacts.ResponseOrBuilder
-
File location and metadata for artifacts.
- getFilter() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
String filter condition, like "name='my-model-name'".
- getFilter() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
String filter condition, like "name='my-model-name'".
- getFilter() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersionsOrBuilder
-
String filter condition, like "name='my-model-name'".
- getFilter() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
String filter condition, like "name LIKE 'my-model-name'".
- getFilter() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
String filter condition, like "name LIKE 'my-model-name'".
- getFilter() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModelsOrBuilder
-
String filter condition, like "name LIKE 'my-model-name'".
- getFilter() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
A filter expression over params, metrics, and tags, that allows returning a subset of
runs.
- getFilter() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
A filter expression over params, metrics, and tags, that allows returning a subset of
runs.
- getFilter() - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
A filter expression over params, metrics, and tags, that allows returning a subset of
runs.
- getFilterBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
String filter condition, like "name='my-model-name'".
- getFilterBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
String filter condition, like "name='my-model-name'".
- getFilterBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersionsOrBuilder
-
String filter condition, like "name='my-model-name'".
- getFilterBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
String filter condition, like "name LIKE 'my-model-name'".
- getFilterBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
String filter condition, like "name LIKE 'my-model-name'".
- getFilterBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModelsOrBuilder
-
String filter condition, like "name LIKE 'my-model-name'".
- getFilterBytes() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
A filter expression over params, metrics, and tags, that allows returning a subset of
runs.
- getFilterBytes() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
A filter expression over params, metrics, and tags, that allows returning a subset of
runs.
- getFilterBytes() - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
A filter expression over params, metrics, and tags, that allows returning a subset of
runs.
- getHeaders(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeaders(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeaders(int) - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeadersBuilder(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeadersBuilderList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeadersCount() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeadersCount() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeadersCount() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeadersList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeadersList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeadersList() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeadersOrBuilder(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeadersOrBuilder(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeadersOrBuilder(int) - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeadersOrBuilderList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeadersOrBuilderList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHeadersOrBuilderList() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- getHost() - Method in class org.mlflow.tracking.creds.BasicMlflowHostCreds
-
- getHost() - Method in interface org.mlflow.tracking.creds.MlflowHostCreds
-
Hostname (e.g., http://localhost:5000) to MLflow server.
- getHostCreds() - Method in class org.mlflow.tracking.creds.BasicMlflowHostCreds
-
- getHostCreds() - Method in class org.mlflow.tracking.creds.DatabricksConfigHostCredsProvider
-
- getHostCreds() - Method in class org.mlflow.tracking.creds.DatabricksDynamicHostCredsProvider
-
- getHostCreds() - Method in class org.mlflow.tracking.creds.HostCredsProviderChain
-
- getHostCreds() - Method in interface org.mlflow.tracking.creds.MlflowHostCredsProvider
-
Returns a valid MlflowHostCreds.
- getId() - Method in class org.mlflow.tracking.ActiveRun
-
Gets the run id of this run.
- getInfo() - Method in class org.mlflow.api.proto.Service.Run.Builder
-
Run metadata.
- getInfo() - Method in class org.mlflow.api.proto.Service.Run
-
Run metadata.
- getInfo() - Method in interface org.mlflow.api.proto.Service.RunOrBuilder
-
Run metadata.
- getInfoBuilder() - Method in class org.mlflow.api.proto.Service.Run.Builder
-
Run metadata.
- getInfoOrBuilder() - Method in class org.mlflow.api.proto.Service.Run.Builder
-
Run metadata.
- getInfoOrBuilder() - Method in class org.mlflow.api.proto.Service.Run
-
Run metadata.
- getInfoOrBuilder() - Method in interface org.mlflow.api.proto.Service.RunOrBuilder
-
Run metadata.
- getIsDir() - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
Whether the path is a directory.
- getIsDir() - Method in class org.mlflow.api.proto.Service.FileInfo
-
Whether the path is a directory.
- getIsDir() - Method in interface org.mlflow.api.proto.Service.FileInfoOrBuilder
-
Whether the path is a directory.
- getItems() - Method in class org.mlflow.tracking.EmptyPage
-
- getItems() - Method in interface org.mlflow.tracking.Page
-
- getItems() - Method in class org.mlflow.tracking.RunsPage
-
- getKey() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Name of the tag.
- getKey() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
Name of the tag.
- getKey() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTagOrBuilder
-
Name of the tag.
- getKey() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
Name of the tag.
- getKey() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag
-
Name of the tag.
- getKey() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTagOrBuilder
-
Name of the tag.
- getKey() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
The tag key.
- getKey() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag
-
The tag key.
- getKey() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionTagOrBuilder
-
The tag key.
- getKey() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
The tag key.
- getKey() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag
-
The tag key.
- getKey() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelTagOrBuilder
-
The tag key.
- getKey() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Name of the tag.
- getKey() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
Name of the tag.
- getKey() - Method in interface org.mlflow.api.proto.ModelRegistry.SetModelVersionTagOrBuilder
-
Name of the tag.
- getKey() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
Name of the tag.
- getKey() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
Name of the tag.
- getKey() - Method in interface org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTagOrBuilder
-
Name of the tag.
- getKey() - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
Name of the tag.
- getKey() - Method in class org.mlflow.api.proto.Service.DeleteTag
-
Name of the tag.
- getKey() - Method in interface org.mlflow.api.proto.Service.DeleteTagOrBuilder
-
Name of the tag.
- getKey() - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
The tag key.
- getKey() - Method in class org.mlflow.api.proto.Service.ExperimentTag
-
The tag key.
- getKey() - Method in interface org.mlflow.api.proto.Service.ExperimentTagOrBuilder
-
The tag key.
- getKey() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
Name of the metric.
- getKey() - Method in class org.mlflow.api.proto.Service.LogMetric
-
Name of the metric.
- getKey() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
Name of the metric.
- getKey() - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
Name of the param.
- getKey() - Method in class org.mlflow.api.proto.Service.LogParam
-
Name of the param.
- getKey() - Method in interface org.mlflow.api.proto.Service.LogParamOrBuilder
-
Name of the param.
- getKey() - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
Key identifying this metric.
- getKey() - Method in class org.mlflow.api.proto.Service.Metric
-
Key identifying this metric.
- getKey() - Method in interface org.mlflow.api.proto.Service.MetricOrBuilder
-
Key identifying this metric.
- getKey() - Method in class org.mlflow.api.proto.Service.Param.Builder
-
Key identifying this param.
- getKey() - Method in class org.mlflow.api.proto.Service.Param
-
Key identifying this param.
- getKey() - Method in interface org.mlflow.api.proto.Service.ParamOrBuilder
-
Key identifying this param.
- getKey() - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
The tag key.
- getKey() - Method in class org.mlflow.api.proto.Service.RunTag
-
The tag key.
- getKey() - Method in interface org.mlflow.api.proto.Service.RunTagOrBuilder
-
The tag key.
- getKey() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
Name of the tag.
- getKey() - Method in class org.mlflow.api.proto.Service.SetExperimentTag
-
Name of the tag.
- getKey() - Method in interface org.mlflow.api.proto.Service.SetExperimentTagOrBuilder
-
Name of the tag.
- getKey() - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
Name of the tag.
- getKey() - Method in class org.mlflow.api.proto.Service.SetTag
-
Name of the tag.
- getKey() - Method in interface org.mlflow.api.proto.Service.SetTagOrBuilder
-
Name of the tag.
- getKeyBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Name of the tag.
- getKeyBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
Name of the tag.
- getKeyBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTagOrBuilder
-
Name of the tag.
- getKeyBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
Name of the tag.
- getKeyBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag
-
Name of the tag.
- getKeyBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTagOrBuilder
-
Name of the tag.
- getKeyBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
The tag key.
- getKeyBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag
-
The tag key.
- getKeyBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionTagOrBuilder
-
The tag key.
- getKeyBytes() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
The tag key.
- getKeyBytes() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag
-
The tag key.
- getKeyBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelTagOrBuilder
-
The tag key.
- getKeyBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Name of the tag.
- getKeyBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
Name of the tag.
- getKeyBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.SetModelVersionTagOrBuilder
-
Name of the tag.
- getKeyBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
Name of the tag.
- getKeyBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
Name of the tag.
- getKeyBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTagOrBuilder
-
Name of the tag.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
Name of the tag.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.DeleteTag
-
Name of the tag.
- getKeyBytes() - Method in interface org.mlflow.api.proto.Service.DeleteTagOrBuilder
-
Name of the tag.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
The tag key.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.ExperimentTag
-
The tag key.
- getKeyBytes() - Method in interface org.mlflow.api.proto.Service.ExperimentTagOrBuilder
-
The tag key.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
Name of the metric.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.LogMetric
-
Name of the metric.
- getKeyBytes() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
Name of the metric.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
Name of the param.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.LogParam
-
Name of the param.
- getKeyBytes() - Method in interface org.mlflow.api.proto.Service.LogParamOrBuilder
-
Name of the param.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
Key identifying this metric.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.Metric
-
Key identifying this metric.
- getKeyBytes() - Method in interface org.mlflow.api.proto.Service.MetricOrBuilder
-
Key identifying this metric.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.Param.Builder
-
Key identifying this param.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.Param
-
Key identifying this param.
- getKeyBytes() - Method in interface org.mlflow.api.proto.Service.ParamOrBuilder
-
Key identifying this param.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
The tag key.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.RunTag
-
The tag key.
- getKeyBytes() - Method in interface org.mlflow.api.proto.Service.RunTagOrBuilder
-
The tag key.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
Name of the tag.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.SetExperimentTag
-
Name of the tag.
- getKeyBytes() - Method in interface org.mlflow.api.proto.Service.SetExperimentTagOrBuilder
-
Name of the tag.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
Name of the tag.
- getKeyBytes() - Method in class org.mlflow.api.proto.Service.SetTag
-
Name of the tag.
- getKeyBytes() - Method in interface org.mlflow.api.proto.Service.SetTagOrBuilder
-
Name of the tag.
- getLastUpdatedTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Timestamp recorded when metadata for this ``model_version`` was last updated.
- getLastUpdatedTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Timestamp recorded when metadata for this ``model_version`` was last updated.
- getLastUpdatedTimestamp() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Timestamp recorded when metadata for this ``model_version`` was last updated.
- getLastUpdatedTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Timestamp recorded when metadata for this ``registered_model`` was last updated.
- getLastUpdatedTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Timestamp recorded when metadata for this ``registered_model`` was last updated.
- getLastUpdatedTimestamp() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Timestamp recorded when metadata for this ``registered_model`` was last updated.
- getLastUpdateTime() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Last update time
- getLastUpdateTime() - Method in class org.mlflow.api.proto.Service.Experiment
-
Last update time
- getLastUpdateTime() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Last update time
- getLatestVersions(int) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Collection of latest model versions for each stage.
- getLatestVersions(int) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Collection of latest model versions for each stage.
- getLatestVersions(int) - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Collection of latest model versions for each stage.
- getLatestVersions(String) - Method in class org.mlflow.tracking.MlflowClient
-
Return the latest model version for each stage.
- getLatestVersions(String, Iterable<String>) - Method in class org.mlflow.tracking.MlflowClient
-
Return the latest model version for each stage requested.
- getLatestVersionsBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Collection of latest model versions for each stage.
- getLatestVersionsBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Collection of latest model versions for each stage.
- getLatestVersionsCount() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Collection of latest model versions for each stage.
- getLatestVersionsCount() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Collection of latest model versions for each stage.
- getLatestVersionsCount() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Collection of latest model versions for each stage.
- getLatestVersionsList() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Collection of latest model versions for each stage.
- getLatestVersionsList() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Collection of latest model versions for each stage.
- getLatestVersionsList() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Collection of latest model versions for each stage.
- getLatestVersionsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Collection of latest model versions for each stage.
- getLatestVersionsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Collection of latest model versions for each stage.
- getLatestVersionsOrBuilder(int) - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Collection of latest model versions for each stage.
- getLatestVersionsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Collection of latest model versions for each stage.
- getLatestVersionsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Collection of latest model versions for each stage.
- getLatestVersionsOrBuilderList() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Collection of latest model versions for each stage.
- getLifecycleStage() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Current life cycle stage of the experiment: "active" or "deleted".
- getLifecycleStage() - Method in class org.mlflow.api.proto.Service.Experiment
-
Current life cycle stage of the experiment: "active" or "deleted".
- getLifecycleStage() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Current life cycle stage of the experiment: "active" or "deleted".
- getLifecycleStage() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Current life cycle stage of the experiment : OneOf("active", "deleted")
- getLifecycleStage() - Method in class org.mlflow.api.proto.Service.RunInfo
-
Current life cycle stage of the experiment : OneOf("active", "deleted")
- getLifecycleStage() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
Current life cycle stage of the experiment : OneOf("active", "deleted")
- getLifecycleStageBytes() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Current life cycle stage of the experiment: "active" or "deleted".
- getLifecycleStageBytes() - Method in class org.mlflow.api.proto.Service.Experiment
-
Current life cycle stage of the experiment: "active" or "deleted".
- getLifecycleStageBytes() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Current life cycle stage of the experiment: "active" or "deleted".
- getLifecycleStageBytes() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Current life cycle stage of the experiment : OneOf("active", "deleted")
- getLifecycleStageBytes() - Method in class org.mlflow.api.proto.Service.RunInfo
-
Current life cycle stage of the experiment : OneOf("active", "deleted")
- getLifecycleStageBytes() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
Current life cycle stage of the experiment : OneOf("active", "deleted")
- getMaxResults() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Builder
-
Maximum number of registered models desired.
- getMaxResults() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels
-
Maximum number of registered models desired.
- getMaxResults() - Method in interface org.mlflow.api.proto.ModelRegistry.ListRegisteredModelsOrBuilder
-
Maximum number of registered models desired.
- getMaxResults() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
Maximum number of models desired.
- getMaxResults() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
Maximum number of models desired.
- getMaxResults() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersionsOrBuilder
-
Maximum number of models desired.
- getMaxResults() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
Maximum number of models desired.
- getMaxResults() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
Maximum number of models desired.
- getMaxResults() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModelsOrBuilder
-
Maximum number of models desired.
- getMaxResults() - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
Maximum number of experiments desired.
- getMaxResults() - Method in class org.mlflow.api.proto.Service.ListExperiments
-
Maximum number of experiments desired.
- getMaxResults() - Method in interface org.mlflow.api.proto.Service.ListExperimentsOrBuilder
-
Maximum number of experiments desired.
- getMaxResults() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
Maximum number of runs desired.
- getMaxResults() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
Maximum number of runs desired.
- getMaxResults() - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
Maximum number of runs desired.
- getMetricHistory(String, String) - Method in class org.mlflow.tracking.MlflowClient
-
- getMetricKey() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
Name of the metric.
- getMetricKey() - Method in class org.mlflow.api.proto.Service.GetMetricHistory
-
Name of the metric.
- getMetricKey() - Method in interface org.mlflow.api.proto.Service.GetMetricHistoryOrBuilder
-
Name of the metric.
- getMetricKeyBytes() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
Name of the metric.
- getMetricKeyBytes() - Method in class org.mlflow.api.proto.Service.GetMetricHistory
-
Name of the metric.
- getMetricKeyBytes() - Method in interface org.mlflow.api.proto.Service.GetMetricHistoryOrBuilder
-
Name of the metric.
- getMetrics(int) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
All logged values for this metric.
- getMetrics(int) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response
-
All logged values for this metric.
- getMetrics(int) - Method in interface org.mlflow.api.proto.Service.GetMetricHistory.ResponseOrBuilder
-
All logged values for this metric.
- getMetrics(int) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Metrics to log.
- getMetrics(int) - Method in class org.mlflow.api.proto.Service.LogBatch
-
Metrics to log.
- getMetrics(int) - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Metrics to log.
- getMetrics(int) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run metrics.
- getMetrics(int) - Method in class org.mlflow.api.proto.Service.RunData
-
Run metrics.
- getMetrics(int) - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Run metrics.
- getMetricsBuilder(int) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
All logged values for this metric.
- getMetricsBuilder(int) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Metrics to log.
- getMetricsBuilder(int) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run metrics.
- getMetricsBuilderList() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
All logged values for this metric.
- getMetricsBuilderList() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Metrics to log.
- getMetricsBuilderList() - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run metrics.
- getMetricsCount() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
All logged values for this metric.
- getMetricsCount() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response
-
All logged values for this metric.
- getMetricsCount() - Method in interface org.mlflow.api.proto.Service.GetMetricHistory.ResponseOrBuilder
-
All logged values for this metric.
- getMetricsCount() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Metrics to log.
- getMetricsCount() - Method in class org.mlflow.api.proto.Service.LogBatch
-
Metrics to log.
- getMetricsCount() - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Metrics to log.
- getMetricsCount() - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run metrics.
- getMetricsCount() - Method in class org.mlflow.api.proto.Service.RunData
-
Run metrics.
- getMetricsCount() - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Run metrics.
- getMetricsList() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
All logged values for this metric.
- getMetricsList() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response
-
All logged values for this metric.
- getMetricsList() - Method in interface org.mlflow.api.proto.Service.GetMetricHistory.ResponseOrBuilder
-
All logged values for this metric.
- getMetricsList() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Metrics to log.
- getMetricsList() - Method in class org.mlflow.api.proto.Service.LogBatch
-
Metrics to log.
- getMetricsList() - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Metrics to log.
- getMetricsList() - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run metrics.
- getMetricsList() - Method in class org.mlflow.api.proto.Service.RunData
-
Run metrics.
- getMetricsList() - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Run metrics.
- getMetricsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
All logged values for this metric.
- getMetricsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response
-
All logged values for this metric.
- getMetricsOrBuilder(int) - Method in interface org.mlflow.api.proto.Service.GetMetricHistory.ResponseOrBuilder
-
All logged values for this metric.
- getMetricsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Metrics to log.
- getMetricsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.LogBatch
-
Metrics to log.
- getMetricsOrBuilder(int) - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Metrics to log.
- getMetricsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run metrics.
- getMetricsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.RunData
-
Run metrics.
- getMetricsOrBuilder(int) - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Run metrics.
- getMetricsOrBuilderList() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
All logged values for this metric.
- getMetricsOrBuilderList() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response
-
All logged values for this metric.
- getMetricsOrBuilderList() - Method in interface org.mlflow.api.proto.Service.GetMetricHistory.ResponseOrBuilder
-
All logged values for this metric.
- getMetricsOrBuilderList() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Metrics to log.
- getMetricsOrBuilderList() - Method in class org.mlflow.api.proto.Service.LogBatch
-
Metrics to log.
- getMetricsOrBuilderList() - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Metrics to log.
- getMetricsOrBuilderList() - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run metrics.
- getMetricsOrBuilderList() - Method in class org.mlflow.api.proto.Service.RunData
-
Run metrics.
- getMetricsOrBuilderList() - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Run metrics.
- getModelJson() - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
MLmodel file in json format.
- getModelJson() - Method in class org.mlflow.api.proto.Service.LogModel
-
MLmodel file in json format.
- getModelJson() - Method in interface org.mlflow.api.proto.Service.LogModelOrBuilder
-
MLmodel file in json format.
- getModelJsonBytes() - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
MLmodel file in json format.
- getModelJsonBytes() - Method in class org.mlflow.api.proto.Service.LogModel
-
MLmodel file in json format.
- getModelJsonBytes() - Method in interface org.mlflow.api.proto.Service.LogModelOrBuilder
-
MLmodel file in json format.
- getModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response.Builder
-
Return new version number generated for this model in registry.
- getModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response
-
Return new version number generated for this model in registry.
- getModelVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersion.ResponseOrBuilder
-
Return new version number generated for this model in registry.
- getModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response.Builder
-
optional .mlflow.ModelVersion model_version = 1;
- getModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response
-
optional .mlflow.ModelVersion model_version = 1;
- getModelVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersion.ResponseOrBuilder
-
optional .mlflow.ModelVersion model_version = 1;
- getModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response.Builder
-
Updated model version
- getModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response
-
Updated model version
- getModelVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.ResponseOrBuilder
-
Updated model version
- getModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response.Builder
-
Return new version number generated for this model in registry.
- getModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response
-
Return new version number generated for this model in registry.
- getModelVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.ResponseOrBuilder
-
Return new version number generated for this model in registry.
- getModelVersionBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response.Builder
-
Return new version number generated for this model in registry.
- getModelVersionBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response.Builder
-
optional .mlflow.ModelVersion model_version = 1;
- getModelVersionBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response.Builder
-
Updated model version
- getModelVersionBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response.Builder
-
Return new version number generated for this model in registry.
- getModelVersionDownloadUri(String, String) - Method in class org.mlflow.tracking.MlflowClient
-
Return the model URI containing for the given model version.
- getModelVersionOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response.Builder
-
Return new version number generated for this model in registry.
- getModelVersionOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response
-
Return new version number generated for this model in registry.
- getModelVersionOrBuilder() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersion.ResponseOrBuilder
-
Return new version number generated for this model in registry.
- getModelVersionOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response.Builder
-
optional .mlflow.ModelVersion model_version = 1;
- getModelVersionOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response
-
optional .mlflow.ModelVersion model_version = 1;
- getModelVersionOrBuilder() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersion.ResponseOrBuilder
-
optional .mlflow.ModelVersion model_version = 1;
- getModelVersionOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response.Builder
-
Updated model version
- getModelVersionOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response
-
Updated model version
- getModelVersionOrBuilder() - Method in interface org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.ResponseOrBuilder
-
Updated model version
- getModelVersionOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response.Builder
-
Return new version number generated for this model in registry.
- getModelVersionOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response
-
Return new version number generated for this model in registry.
- getModelVersionOrBuilder() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.ResponseOrBuilder
-
Return new version number generated for this model in registry.
- getModelVersions(int) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
Latest version models for each requests stage.
- getModelVersions(int) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response
-
Latest version models for each requests stage.
- getModelVersions(int) - Method in interface org.mlflow.api.proto.ModelRegistry.GetLatestVersions.ResponseOrBuilder
-
Latest version models for each requests stage.
- getModelVersions(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
Models that match the search criteria
- getModelVersions(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
Models that match the search criteria
- getModelVersions(int) - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersions.ResponseOrBuilder
-
Models that match the search criteria
- getModelVersionsBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
Latest version models for each requests stage.
- getModelVersionsBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
Models that match the search criteria
- getModelVersionsBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
Latest version models for each requests stage.
- getModelVersionsBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
Models that match the search criteria
- getModelVersionsCount() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
Latest version models for each requests stage.
- getModelVersionsCount() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response
-
Latest version models for each requests stage.
- getModelVersionsCount() - Method in interface org.mlflow.api.proto.ModelRegistry.GetLatestVersions.ResponseOrBuilder
-
Latest version models for each requests stage.
- getModelVersionsCount() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
Models that match the search criteria
- getModelVersionsCount() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
Models that match the search criteria
- getModelVersionsCount() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersions.ResponseOrBuilder
-
Models that match the search criteria
- getModelVersionsList() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
Latest version models for each requests stage.
- getModelVersionsList() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response
-
Latest version models for each requests stage.
- getModelVersionsList() - Method in interface org.mlflow.api.proto.ModelRegistry.GetLatestVersions.ResponseOrBuilder
-
Latest version models for each requests stage.
- getModelVersionsList() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
Models that match the search criteria
- getModelVersionsList() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
Models that match the search criteria
- getModelVersionsList() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersions.ResponseOrBuilder
-
Models that match the search criteria
- getModelVersionsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
Latest version models for each requests stage.
- getModelVersionsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response
-
Latest version models for each requests stage.
- getModelVersionsOrBuilder(int) - Method in interface org.mlflow.api.proto.ModelRegistry.GetLatestVersions.ResponseOrBuilder
-
Latest version models for each requests stage.
- getModelVersionsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
Models that match the search criteria
- getModelVersionsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
Models that match the search criteria
- getModelVersionsOrBuilder(int) - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersions.ResponseOrBuilder
-
Models that match the search criteria
- getModelVersionsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
Latest version models for each requests stage.
- getModelVersionsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response
-
Latest version models for each requests stage.
- getModelVersionsOrBuilderList() - Method in interface org.mlflow.api.proto.ModelRegistry.GetLatestVersions.ResponseOrBuilder
-
Latest version models for each requests stage.
- getModelVersionsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
Models that match the search criteria
- getModelVersionsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
Models that match the search criteria
- getModelVersionsOrBuilderList() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersions.ResponseOrBuilder
-
Models that match the search criteria
- getName() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
The HTTP header name
- getName() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader
-
The HTTP header name
- getName() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeaderOrBuilder
-
The HTTP header name
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Register model under this name
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
Register model under this name
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
Register model under this name
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Register models under this name
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
Register models under this name
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateRegisteredModelOrBuilder
-
Register models under this name
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
Name of the registered model
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion
-
Name of the registered model
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionOrBuilder
-
Name of the registered model
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Name of the registered model that the tag was logged under.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
Name of the registered model that the tag was logged under.
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTagOrBuilder
-
Name of the registered model that the tag was logged under.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Builder
-
Registered model unique name identifier.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel
-
Registered model unique name identifier.
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelOrBuilder
-
Registered model unique name identifier.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
Name of the registered model that the tag was logged under.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag
-
Name of the registered model that the tag was logged under.
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTagOrBuilder
-
Name of the registered model that the tag was logged under.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
Registered model unique name identifier.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
-
Registered model unique name identifier.
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.GetLatestVersionsOrBuilder
-
Registered model unique name identifier.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
Name of the registered model
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion
-
Name of the registered model
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
Name of the registered model
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri
-
Name of the registered model
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUriOrBuilder
-
Name of the registered model
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionOrBuilder
-
Name of the registered model
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Builder
-
Registered model unique name identifier.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel
-
Registered model unique name identifier.
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.GetRegisteredModelOrBuilder
-
Registered model unique name identifier.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Unique name of the model
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Unique name of the model
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Unique name of the model
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Unique name for the model.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Unique name for the model.
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Unique name for the model.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
Registered model unique name identifier.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel
-
Registered model unique name identifier.
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.RenameRegisteredModelOrBuilder
-
Registered model unique name identifier.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Unique name of the model.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
Unique name of the model.
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.SetModelVersionTagOrBuilder
-
Unique name of the model.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
Unique name of the model.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
Unique name of the model.
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTagOrBuilder
-
Unique name of the model.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Name of the registered model
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
Name of the registered model
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStageOrBuilder
-
Name of the registered model
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
Name of the registered model
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
Name of the registered model
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateModelVersionOrBuilder
-
Name of the registered model
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
Registered model unique name identifier.
- getName() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel
-
Registered model unique name identifier.
- getName() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModelOrBuilder
-
Registered model unique name identifier.
- getName() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
Experiment name.
- getName() - Method in class org.mlflow.api.proto.Service.CreateExperiment
-
Experiment name.
- getName() - Method in interface org.mlflow.api.proto.Service.CreateExperimentOrBuilder
-
Experiment name.
- getName() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Human readable name that identifies the experiment.
- getName() - Method in class org.mlflow.api.proto.Service.Experiment
-
Human readable name that identifies the experiment.
- getName() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Human readable name that identifies the experiment.
- getNameBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
The HTTP header name
- getNameBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader
-
The HTTP header name
- getNameBytes() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeaderOrBuilder
-
The HTTP header name
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Register model under this name
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
Register model under this name
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
Register model under this name
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Register models under this name
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
Register models under this name
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateRegisteredModelOrBuilder
-
Register models under this name
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
Name of the registered model
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion
-
Name of the registered model
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionOrBuilder
-
Name of the registered model
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Name of the registered model that the tag was logged under.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
Name of the registered model that the tag was logged under.
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTagOrBuilder
-
Name of the registered model that the tag was logged under.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Builder
-
Registered model unique name identifier.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel
-
Registered model unique name identifier.
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelOrBuilder
-
Registered model unique name identifier.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
Name of the registered model that the tag was logged under.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag
-
Name of the registered model that the tag was logged under.
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTagOrBuilder
-
Name of the registered model that the tag was logged under.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
Registered model unique name identifier.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
-
Registered model unique name identifier.
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.GetLatestVersionsOrBuilder
-
Registered model unique name identifier.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
Name of the registered model
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion
-
Name of the registered model
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
Name of the registered model
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri
-
Name of the registered model
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUriOrBuilder
-
Name of the registered model
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionOrBuilder
-
Name of the registered model
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Builder
-
Registered model unique name identifier.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel
-
Registered model unique name identifier.
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.GetRegisteredModelOrBuilder
-
Registered model unique name identifier.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Unique name of the model
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Unique name of the model
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Unique name of the model
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Unique name for the model.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Unique name for the model.
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Unique name for the model.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
Registered model unique name identifier.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel
-
Registered model unique name identifier.
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.RenameRegisteredModelOrBuilder
-
Registered model unique name identifier.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Unique name of the model.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
Unique name of the model.
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.SetModelVersionTagOrBuilder
-
Unique name of the model.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
Unique name of the model.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
Unique name of the model.
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTagOrBuilder
-
Unique name of the model.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Name of the registered model
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
Name of the registered model
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStageOrBuilder
-
Name of the registered model
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
Name of the registered model
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
Name of the registered model
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateModelVersionOrBuilder
-
Name of the registered model
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
Registered model unique name identifier.
- getNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel
-
Registered model unique name identifier.
- getNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModelOrBuilder
-
Registered model unique name identifier.
- getNameBytes() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
Experiment name.
- getNameBytes() - Method in class org.mlflow.api.proto.Service.CreateExperiment
-
Experiment name.
- getNameBytes() - Method in interface org.mlflow.api.proto.Service.CreateExperimentOrBuilder
-
Experiment name.
- getNameBytes() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Human readable name that identifies the experiment.
- getNameBytes() - Method in class org.mlflow.api.proto.Service.Experiment
-
Human readable name that identifies the experiment.
- getNameBytes() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Human readable name that identifies the experiment.
- getNewName() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
If provided, updates the name for this ``registered_model``.
- getNewName() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel
-
If provided, updates the name for this ``registered_model``.
- getNewName() - Method in interface org.mlflow.api.proto.ModelRegistry.RenameRegisteredModelOrBuilder
-
If provided, updates the name for this ``registered_model``.
- getNewName() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
If provided, the experiment's name is changed to the new name.
- getNewName() - Method in class org.mlflow.api.proto.Service.UpdateExperiment
-
If provided, the experiment's name is changed to the new name.
- getNewName() - Method in interface org.mlflow.api.proto.Service.UpdateExperimentOrBuilder
-
If provided, the experiment's name is changed to the new name.
- getNewNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
If provided, updates the name for this ``registered_model``.
- getNewNameBytes() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel
-
If provided, updates the name for this ``registered_model``.
- getNewNameBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.RenameRegisteredModelOrBuilder
-
If provided, updates the name for this ``registered_model``.
- getNewNameBytes() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
If provided, the experiment's name is changed to the new name.
- getNewNameBytes() - Method in class org.mlflow.api.proto.Service.UpdateExperiment
-
If provided, the experiment's name is changed to the new name.
- getNewNameBytes() - Method in interface org.mlflow.api.proto.Service.UpdateExperimentOrBuilder
-
If provided, the experiment's name is changed to the new name.
- getNextPage() - Method in class org.mlflow.tracking.EmptyPage
-
- getNextPage() - Method in interface org.mlflow.tracking.Page
-
- getNextPage() - Method in class org.mlflow.tracking.RunsPage
-
- getNextPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
Token used to fetch the next page of credentials for large requests that require pagination
- getNextPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
Token used to fetch the next page of credentials for large requests that require pagination
- getNextPageToken() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.ResponseOrBuilder
-
Token used to fetch the next page of credentials for large requests that require pagination
- getNextPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
Token used to fetch the next page of credentials for large requests that require pagination
- getNextPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
Token used to fetch the next page of credentials for large requests that require pagination
- getNextPageToken() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.ResponseOrBuilder
-
Token used to fetch the next page of credentials for large requests that require pagination
- getNextPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
Pagination token to request next page of models for the same query.
- getNextPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
Pagination token to request next page of models for the same query.
- getNextPageToken() - Method in interface org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.ResponseOrBuilder
-
Pagination token to request next page of models for the same query.
- getNextPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
Pagination token to request next page of models for the same search query.
- getNextPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
Pagination token to request next page of models for the same search query.
- getNextPageToken() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersions.ResponseOrBuilder
-
Pagination token to request next page of models for the same search query.
- getNextPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
Pagination token to request the next page of models.
- getNextPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
Pagination token to request the next page of models.
- getNextPageToken() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.ResponseOrBuilder
-
Pagination token to request the next page of models.
- getNextPageToken() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
Token that can be used to retrieve the next page of artifact results
- getNextPageToken() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
Token that can be used to retrieve the next page of artifact results
- getNextPageToken() - Method in interface org.mlflow.api.proto.Service.ListArtifacts.ResponseOrBuilder
-
Token that can be used to retrieve the next page of artifact results
- getNextPageToken() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
Pagination token to request next page of experiments for the same query.
- getNextPageToken() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
Pagination token to request next page of experiments for the same query.
- getNextPageToken() - Method in interface org.mlflow.api.proto.Service.ListExperiments.ResponseOrBuilder
-
Pagination token to request next page of experiments for the same query.
- getNextPageToken() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
optional string next_page_token = 2;
- getNextPageToken() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
optional string next_page_token = 2;
- getNextPageToken() - Method in interface org.mlflow.api.proto.Service.SearchRuns.ResponseOrBuilder
-
optional string next_page_token = 2;
- getNextPageToken() - Method in class org.mlflow.tracking.EmptyPage
-
- getNextPageToken() - Method in interface org.mlflow.tracking.Page
-
- getNextPageToken() - Method in class org.mlflow.tracking.RunsPage
-
- getNextPageTokenBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
Token used to fetch the next page of credentials for large requests that require pagination
- getNextPageTokenBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
Token used to fetch the next page of credentials for large requests that require pagination
- getNextPageTokenBytes() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.ResponseOrBuilder
-
Token used to fetch the next page of credentials for large requests that require pagination
- getNextPageTokenBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
Token used to fetch the next page of credentials for large requests that require pagination
- getNextPageTokenBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
Token used to fetch the next page of credentials for large requests that require pagination
- getNextPageTokenBytes() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.ResponseOrBuilder
-
Token used to fetch the next page of credentials for large requests that require pagination
- getNextPageTokenBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
Pagination token to request next page of models for the same query.
- getNextPageTokenBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
Pagination token to request next page of models for the same query.
- getNextPageTokenBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.ResponseOrBuilder
-
Pagination token to request next page of models for the same query.
- getNextPageTokenBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
Pagination token to request next page of models for the same search query.
- getNextPageTokenBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
Pagination token to request next page of models for the same search query.
- getNextPageTokenBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersions.ResponseOrBuilder
-
Pagination token to request next page of models for the same search query.
- getNextPageTokenBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
Pagination token to request the next page of models.
- getNextPageTokenBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
Pagination token to request the next page of models.
- getNextPageTokenBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.ResponseOrBuilder
-
Pagination token to request the next page of models.
- getNextPageTokenBytes() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
Token that can be used to retrieve the next page of artifact results
- getNextPageTokenBytes() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
Token that can be used to retrieve the next page of artifact results
- getNextPageTokenBytes() - Method in interface org.mlflow.api.proto.Service.ListArtifacts.ResponseOrBuilder
-
Token that can be used to retrieve the next page of artifact results
- getNextPageTokenBytes() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
Pagination token to request next page of experiments for the same query.
- getNextPageTokenBytes() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
Pagination token to request next page of experiments for the same query.
- getNextPageTokenBytes() - Method in interface org.mlflow.api.proto.Service.ListExperiments.ResponseOrBuilder
-
Pagination token to request next page of experiments for the same query.
- getNextPageTokenBytes() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
optional string next_page_token = 2;
- getNextPageTokenBytes() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
optional string next_page_token = 2;
- getNextPageTokenBytes() - Method in interface org.mlflow.api.proto.Service.SearchRuns.ResponseOrBuilder
-
optional string next_page_token = 2;
- getNotebookId() - Method in class org.mlflow.tracking.utils.DatabricksContext
-
Should only be called if isInDatabricksNotebook() is true.
- getNumber() - Method in enum com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialType
-
- getNumber() - Method in enum org.mlflow.api.proto.ModelRegistry.ModelVersionStatus
-
- getNumber() - Method in enum org.mlflow.api.proto.Service.RunStatus
-
- getNumber() - Method in enum org.mlflow.api.proto.Service.SourceType
-
- getNumber() - Method in enum org.mlflow.api.proto.Service.ViewType
-
- getOrderBy(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
List of columns to be ordered by including model name, version, stage with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderBy(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
List of columns to be ordered by including model name, version, stage with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderBy(int) - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersionsOrBuilder
-
List of columns to be ordered by including model name, version, stage with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderBy(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
List of columns for ordering search results, which can include model name and last updated
timestamp with an optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderBy(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
List of columns for ordering search results, which can include model name and last updated
timestamp with an optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderBy(int) - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModelsOrBuilder
-
List of columns for ordering search results, which can include model name and last updated
timestamp with an optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderBy(int) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
List of columns to be ordered by, including attributes, params, metrics, and tags with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderBy(int) - Method in class org.mlflow.api.proto.Service.SearchRuns
-
List of columns to be ordered by, including attributes, params, metrics, and tags with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderBy(int) - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
List of columns to be ordered by, including attributes, params, metrics, and tags with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByBytes(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
List of columns to be ordered by including model name, version, stage with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByBytes(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
List of columns to be ordered by including model name, version, stage with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByBytes(int) - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersionsOrBuilder
-
List of columns to be ordered by including model name, version, stage with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByBytes(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
List of columns for ordering search results, which can include model name and last updated
timestamp with an optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByBytes(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
List of columns for ordering search results, which can include model name and last updated
timestamp with an optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByBytes(int) - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModelsOrBuilder
-
List of columns for ordering search results, which can include model name and last updated
timestamp with an optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByBytes(int) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
List of columns to be ordered by, including attributes, params, metrics, and tags with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByBytes(int) - Method in class org.mlflow.api.proto.Service.SearchRuns
-
List of columns to be ordered by, including attributes, params, metrics, and tags with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByBytes(int) - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
List of columns to be ordered by, including attributes, params, metrics, and tags with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByCount() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
List of columns to be ordered by including model name, version, stage with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByCount() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
List of columns to be ordered by including model name, version, stage with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByCount() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersionsOrBuilder
-
List of columns to be ordered by including model name, version, stage with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByCount() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
List of columns for ordering search results, which can include model name and last updated
timestamp with an optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByCount() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
List of columns for ordering search results, which can include model name and last updated
timestamp with an optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByCount() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModelsOrBuilder
-
List of columns for ordering search results, which can include model name and last updated
timestamp with an optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByCount() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
List of columns to be ordered by, including attributes, params, metrics, and tags with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByCount() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
List of columns to be ordered by, including attributes, params, metrics, and tags with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByCount() - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
List of columns to be ordered by, including attributes, params, metrics, and tags with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByList() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
List of columns to be ordered by including model name, version, stage with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByList() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
List of columns to be ordered by including model name, version, stage with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByList() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersionsOrBuilder
-
List of columns to be ordered by including model name, version, stage with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByList() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
List of columns for ordering search results, which can include model name and last updated
timestamp with an optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByList() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
List of columns for ordering search results, which can include model name and last updated
timestamp with an optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByList() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModelsOrBuilder
-
List of columns for ordering search results, which can include model name and last updated
timestamp with an optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByList() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
List of columns to be ordered by, including attributes, params, metrics, and tags with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByList() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
List of columns to be ordered by, including attributes, params, metrics, and tags with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getOrderByList() - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
List of columns to be ordered by, including attributes, params, metrics, and tags with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- getPageSize() - Method in class org.mlflow.tracking.EmptyPage
-
- getPageSize() - Method in interface org.mlflow.tracking.Page
-
- getPageSize() - Method in class org.mlflow.tracking.RunsPage
-
- getPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- getPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
Token specifying the page of credentials to fetch for large requests that require pagination
- getPageToken() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForReadOrBuilder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- getPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- getPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
Token specifying the page of credentials to fetch for large requests that require pagination
- getPageToken() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWriteOrBuilder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- getPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Builder
-
Pagination token to go to the next page based on a previous query.
- getPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels
-
Pagination token to go to the next page based on a previous query.
- getPageToken() - Method in interface org.mlflow.api.proto.ModelRegistry.ListRegisteredModelsOrBuilder
-
Pagination token to go to the next page based on a previous query.
- getPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
Pagination token to go to next page based on previous search query.
- getPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
Pagination token to go to next page based on previous search query.
- getPageToken() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersionsOrBuilder
-
Pagination token to go to next page based on previous search query.
- getPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
Pagination token to go to the next page based on a previous search query.
- getPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
Pagination token to go to the next page based on a previous search query.
- getPageToken() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModelsOrBuilder
-
Pagination token to go to the next page based on a previous search query.
- getPageToken() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
Token indicating the page of artifact results to fetch
- getPageToken() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
Token indicating the page of artifact results to fetch
- getPageToken() - Method in interface org.mlflow.api.proto.Service.ListArtifactsOrBuilder
-
Token indicating the page of artifact results to fetch
- getPageToken() - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
Pagination token to go to the next page based on a previous query.
- getPageToken() - Method in class org.mlflow.api.proto.Service.ListExperiments
-
Pagination token to go to the next page based on a previous query.
- getPageToken() - Method in interface org.mlflow.api.proto.Service.ListExperimentsOrBuilder
-
Pagination token to go to the next page based on a previous query.
- getPageToken() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
optional string page_token = 7;
- getPageToken() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
optional string page_token = 7;
- getPageToken() - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
optional string page_token = 7;
- getPageTokenBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- getPageTokenBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
Token specifying the page of credentials to fetch for large requests that require pagination
- getPageTokenBytes() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForReadOrBuilder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- getPageTokenBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- getPageTokenBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
Token specifying the page of credentials to fetch for large requests that require pagination
- getPageTokenBytes() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWriteOrBuilder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- getPageTokenBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Builder
-
Pagination token to go to the next page based on a previous query.
- getPageTokenBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels
-
Pagination token to go to the next page based on a previous query.
- getPageTokenBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.ListRegisteredModelsOrBuilder
-
Pagination token to go to the next page based on a previous query.
- getPageTokenBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
Pagination token to go to next page based on previous search query.
- getPageTokenBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
Pagination token to go to next page based on previous search query.
- getPageTokenBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersionsOrBuilder
-
Pagination token to go to next page based on previous search query.
- getPageTokenBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
Pagination token to go to the next page based on a previous search query.
- getPageTokenBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
Pagination token to go to the next page based on a previous search query.
- getPageTokenBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModelsOrBuilder
-
Pagination token to go to the next page based on a previous search query.
- getPageTokenBytes() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
Token indicating the page of artifact results to fetch
- getPageTokenBytes() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
Token indicating the page of artifact results to fetch
- getPageTokenBytes() - Method in interface org.mlflow.api.proto.Service.ListArtifactsOrBuilder
-
Token indicating the page of artifact results to fetch
- getPageTokenBytes() - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
Pagination token to go to the next page based on a previous query.
- getPageTokenBytes() - Method in class org.mlflow.api.proto.Service.ListExperiments
-
Pagination token to go to the next page based on a previous query.
- getPageTokenBytes() - Method in interface org.mlflow.api.proto.Service.ListExperimentsOrBuilder
-
Pagination token to go to the next page based on a previous query.
- getPageTokenBytes() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
optional string page_token = 7;
- getPageTokenBytes() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
optional string page_token = 7;
- getPageTokenBytes() - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
optional string page_token = 7;
- getParams(int) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Params to log.
- getParams(int) - Method in class org.mlflow.api.proto.Service.LogBatch
-
Params to log.
- getParams(int) - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Params to log.
- getParams(int) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run parameters.
- getParams(int) - Method in class org.mlflow.api.proto.Service.RunData
-
Run parameters.
- getParams(int) - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Run parameters.
- getParamsBuilder(int) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Params to log.
- getParamsBuilder(int) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run parameters.
- getParamsBuilderList() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Params to log.
- getParamsBuilderList() - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run parameters.
- getParamsCount() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Params to log.
- getParamsCount() - Method in class org.mlflow.api.proto.Service.LogBatch
-
Params to log.
- getParamsCount() - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Params to log.
- getParamsCount() - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run parameters.
- getParamsCount() - Method in class org.mlflow.api.proto.Service.RunData
-
Run parameters.
- getParamsCount() - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Run parameters.
- getParamsList() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Params to log.
- getParamsList() - Method in class org.mlflow.api.proto.Service.LogBatch
-
Params to log.
- getParamsList() - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Params to log.
- getParamsList() - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run parameters.
- getParamsList() - Method in class org.mlflow.api.proto.Service.RunData
-
Run parameters.
- getParamsList() - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Run parameters.
- getParamsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Params to log.
- getParamsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.LogBatch
-
Params to log.
- getParamsOrBuilder(int) - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Params to log.
- getParamsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run parameters.
- getParamsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.RunData
-
Run parameters.
- getParamsOrBuilder(int) - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Run parameters.
- getParamsOrBuilderList() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Params to log.
- getParamsOrBuilderList() - Method in class org.mlflow.api.proto.Service.LogBatch
-
Params to log.
- getParamsOrBuilderList() - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Params to log.
- getParamsOrBuilderList() - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run parameters.
- getParamsOrBuilderList() - Method in class org.mlflow.api.proto.Service.RunData
-
Run parameters.
- getParamsOrBuilderList() - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Run parameters.
- getParserForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
- getParserForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader
-
- getParserForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
- getParserForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
- getParserForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
- getParserForType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel
-
- getParserForType() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.CreateExperiment
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.CreateRun
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.CreateRun.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.DeleteExperiment
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.DeleteRun
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.DeleteRun.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.DeleteTag
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.DeleteTag.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.Experiment
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.ExperimentTag
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.FileInfo
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.GetExperiment
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.GetExperimentByName
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.GetMetricHistory
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.GetRun
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.GetRun.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.ListExperiments
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.LogBatch
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.LogBatch.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.LogMetric
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.LogMetric.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.LogModel
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.LogModel.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.LogParam
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.LogParam.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.Metric
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.Param
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.RestoreExperiment
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.RestoreRun
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.RestoreRun.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.Run
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.RunData
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.RunInfo
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.RunTag
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.SetExperimentTag
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.SetTag
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.SetTag.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.UpdateExperiment
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Response
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
- getParserForType() - Method in class org.mlflow.api.proto.Service.UpdateRun.Response
-
- getPassword() - Method in class org.mlflow.tracking.creds.BasicMlflowHostCreds
-
- getPassword() - Method in interface org.mlflow.tracking.creds.MlflowHostCreds
-
Password to use with Basic authentication when talking to server.
- getPath() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The path, relative to the Run's artifact root location, of the artifact
that can be accessed with the credential
- getPath() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
The path, relative to the Run's artifact root location, of the artifact
that can be accessed with the credential
- getPath() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
The path, relative to the Run's artifact root location, of the artifact
that can be accessed with the credential
- getPath(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact read credentials.
- getPath(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact read credentials.
- getPath(int) - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForReadOrBuilder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact read credentials.
- getPath(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact write credentials.
- getPath(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact write credentials.
- getPath(int) - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWriteOrBuilder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact write credentials.
- getPath() - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
Path relative to the root artifact directory run.
- getPath() - Method in class org.mlflow.api.proto.Service.FileInfo
-
Path relative to the root artifact directory run.
- getPath() - Method in interface org.mlflow.api.proto.Service.FileInfoOrBuilder
-
Path relative to the root artifact directory run.
- getPath() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
Filter artifacts matching this path (a relative path from the root artifact directory).
- getPath() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
Filter artifacts matching this path (a relative path from the root artifact directory).
- getPath() - Method in interface org.mlflow.api.proto.Service.ListArtifactsOrBuilder
-
Filter artifacts matching this path (a relative path from the root artifact directory).
- getPathBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The path, relative to the Run's artifact root location, of the artifact
that can be accessed with the credential
- getPathBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
The path, relative to the Run's artifact root location, of the artifact
that can be accessed with the credential
- getPathBytes() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
The path, relative to the Run's artifact root location, of the artifact
that can be accessed with the credential
- getPathBytes(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact read credentials.
- getPathBytes(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact read credentials.
- getPathBytes(int) - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForReadOrBuilder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact read credentials.
- getPathBytes(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact write credentials.
- getPathBytes(int) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact write credentials.
- getPathBytes(int) - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWriteOrBuilder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact write credentials.
- getPathBytes() - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
Path relative to the root artifact directory run.
- getPathBytes() - Method in class org.mlflow.api.proto.Service.FileInfo
-
Path relative to the root artifact directory run.
- getPathBytes() - Method in interface org.mlflow.api.proto.Service.FileInfoOrBuilder
-
Path relative to the root artifact directory run.
- getPathBytes() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
Filter artifacts matching this path (a relative path from the root artifact directory).
- getPathBytes() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
Filter artifacts matching this path (a relative path from the root artifact directory).
- getPathBytes() - Method in interface org.mlflow.api.proto.Service.ListArtifactsOrBuilder
-
Filter artifacts matching this path (a relative path from the root artifact directory).
- getPathCount() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact read credentials.
- getPathCount() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact read credentials.
- getPathCount() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForReadOrBuilder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact read credentials.
- getPathCount() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact write credentials.
- getPathCount() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact write credentials.
- getPathCount() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWriteOrBuilder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact write credentials.
- getPathList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact read credentials.
- getPathList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact read credentials.
- getPathList() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForReadOrBuilder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact read credentials.
- getPathList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact write credentials.
- getPathList() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact write credentials.
- getPathList() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWriteOrBuilder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact write credentials.
- getReasonPhrase() - Method in exception org.mlflow.tracking.MlflowHttpException
-
- getRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModel() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.ResponseOrBuilder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModel() - Method in interface org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.ResponseOrBuilder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModel() - Method in interface org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.ResponseOrBuilder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModel() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.ResponseOrBuilder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelOrBuilder() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.ResponseOrBuilder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelOrBuilder() - Method in interface org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.ResponseOrBuilder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelOrBuilder() - Method in interface org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.ResponseOrBuilder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelOrBuilder() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModelOrBuilder() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.ResponseOrBuilder
-
optional .mlflow.RegisteredModel registered_model = 1;
- getRegisteredModels(int) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModels(int) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModels(int) - Method in interface org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.ResponseOrBuilder
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModels(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
Registered Models that match the search criteria.
- getRegisteredModels(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
Registered Models that match the search criteria.
- getRegisteredModels(int) - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.ResponseOrBuilder
-
Registered Models that match the search criteria.
- getRegisteredModelsBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModelsBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
Registered Models that match the search criteria.
- getRegisteredModelsBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModelsBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
Registered Models that match the search criteria.
- getRegisteredModelsCount() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModelsCount() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModelsCount() - Method in interface org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.ResponseOrBuilder
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModelsCount() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
Registered Models that match the search criteria.
- getRegisteredModelsCount() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
Registered Models that match the search criteria.
- getRegisteredModelsCount() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.ResponseOrBuilder
-
Registered Models that match the search criteria.
- getRegisteredModelsList() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModelsList() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModelsList() - Method in interface org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.ResponseOrBuilder
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModelsList() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
Registered Models that match the search criteria.
- getRegisteredModelsList() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
Registered Models that match the search criteria.
- getRegisteredModelsList() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.ResponseOrBuilder
-
Registered Models that match the search criteria.
- getRegisteredModelsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModelsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModelsOrBuilder(int) - Method in interface org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.ResponseOrBuilder
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModelsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
Registered Models that match the search criteria.
- getRegisteredModelsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
Registered Models that match the search criteria.
- getRegisteredModelsOrBuilder(int) - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.ResponseOrBuilder
-
Registered Models that match the search criteria.
- getRegisteredModelsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModelsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModelsOrBuilderList() - Method in interface org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.ResponseOrBuilder
-
repeated .mlflow.RegisteredModel registered_models = 1;
- getRegisteredModelsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
Registered Models that match the search criteria.
- getRegisteredModelsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
Registered Models that match the search criteria.
- getRegisteredModelsOrBuilderList() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.ResponseOrBuilder
-
Registered Models that match the search criteria.
- getRootUri() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
Root artifact directory for the run.
- getRootUri() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
Root artifact directory for the run.
- getRootUri() - Method in interface org.mlflow.api.proto.Service.ListArtifacts.ResponseOrBuilder
-
Root artifact directory for the run.
- getRootUriBytes() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
Root artifact directory for the run.
- getRootUriBytes() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
Root artifact directory for the run.
- getRootUriBytes() - Method in interface org.mlflow.api.proto.Service.ListArtifacts.ResponseOrBuilder
-
Root artifact directory for the run.
- getRun() - Method in class org.mlflow.api.proto.Service.CreateRun.Response.Builder
-
The newly created run.
- getRun() - Method in class org.mlflow.api.proto.Service.CreateRun.Response
-
The newly created run.
- getRun() - Method in interface org.mlflow.api.proto.Service.CreateRun.ResponseOrBuilder
-
The newly created run.
- getRun() - Method in class org.mlflow.api.proto.Service.GetRun.Response.Builder
-
Run metadata (name, start time, etc) and data (metrics, params, and tags).
- getRun() - Method in class org.mlflow.api.proto.Service.GetRun.Response
-
Run metadata (name, start time, etc) and data (metrics, params, and tags).
- getRun() - Method in interface org.mlflow.api.proto.Service.GetRun.ResponseOrBuilder
-
Run metadata (name, start time, etc) and data (metrics, params, and tags).
- getRun(String) - Method in class org.mlflow.tracking.MlflowClient
-
Get metadata, params, tags, and metrics for a run.
- getRunBuilder() - Method in class org.mlflow.api.proto.Service.CreateRun.Response.Builder
-
The newly created run.
- getRunBuilder() - Method in class org.mlflow.api.proto.Service.GetRun.Response.Builder
-
Run metadata (name, start time, etc) and data (metrics, params, and tags).
- getRunId() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The ID of the MLflow Run containing the artifact that can be accessed
with the credential
- getRunId() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
The ID of the MLflow Run containing the artifact that can be accessed
with the credential
- getRunId() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
The ID of the MLflow Run containing the artifact that can be accessed
with the credential
- getRunId() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
The ID of the MLflow Run for which to fetch artifact read credentials
- getRunId() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
The ID of the MLflow Run for which to fetch artifact read credentials
- getRunId() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForReadOrBuilder
-
The ID of the MLflow Run for which to fetch artifact read credentials
- getRunId() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
The ID of the MLflow Run for which to fetch artifact write credentials
- getRunId() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
The ID of the MLflow Run for which to fetch artifact write credentials
- getRunId() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWriteOrBuilder
-
The ID of the MLflow Run for which to fetch artifact write credentials
- getRunId() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
MLflow run ID for correlation, if ``source`` was generated by an experiment run in
MLflow tracking server
- getRunId() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
MLflow run ID for correlation, if ``source`` was generated by an experiment run in
MLflow tracking server
- getRunId() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
MLflow run ID for correlation, if ``source`` was generated by an experiment run in
MLflow tracking server
- getRunId() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
MLflow run ID used when creating ``model_version``, if ``source`` was generated by an
experiment run stored in MLflow tracking server.
- getRunId() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
MLflow run ID used when creating ``model_version``, if ``source`` was generated by an
experiment run stored in MLflow tracking server.
- getRunId() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
MLflow run ID used when creating ``model_version``, if ``source`` was generated by an
experiment run stored in MLflow tracking server.
- getRunId() - Method in class org.mlflow.api.proto.Service.DeleteRun.Builder
-
ID of the run to delete.
- getRunId() - Method in class org.mlflow.api.proto.Service.DeleteRun
-
ID of the run to delete.
- getRunId() - Method in interface org.mlflow.api.proto.Service.DeleteRunOrBuilder
-
ID of the run to delete.
- getRunId() - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
ID of the run that the tag was logged under.
- getRunId() - Method in class org.mlflow.api.proto.Service.DeleteTag
-
ID of the run that the tag was logged under.
- getRunId() - Method in interface org.mlflow.api.proto.Service.DeleteTagOrBuilder
-
ID of the run that the tag was logged under.
- getRunId() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
ID of the run from which to fetch metric values.
- getRunId() - Method in class org.mlflow.api.proto.Service.GetMetricHistory
-
ID of the run from which to fetch metric values.
- getRunId() - Method in interface org.mlflow.api.proto.Service.GetMetricHistoryOrBuilder
-
ID of the run from which to fetch metric values.
- getRunId() - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
ID of the run to fetch.
- getRunId() - Method in class org.mlflow.api.proto.Service.GetRun
-
ID of the run to fetch.
- getRunId() - Method in interface org.mlflow.api.proto.Service.GetRunOrBuilder
-
ID of the run to fetch.
- getRunId() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
ID of the run whose artifacts to list.
- getRunId() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
ID of the run whose artifacts to list.
- getRunId() - Method in interface org.mlflow.api.proto.Service.ListArtifactsOrBuilder
-
ID of the run whose artifacts to list.
- getRunId() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
ID of the run to log under
- getRunId() - Method in class org.mlflow.api.proto.Service.LogBatch
-
ID of the run to log under
- getRunId() - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
ID of the run to log under
- getRunId() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
ID of the run under which to log the metric.
- getRunId() - Method in class org.mlflow.api.proto.Service.LogMetric
-
ID of the run under which to log the metric.
- getRunId() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
ID of the run under which to log the metric.
- getRunId() - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
ID of the run to log under
- getRunId() - Method in class org.mlflow.api.proto.Service.LogModel
-
ID of the run to log under
- getRunId() - Method in interface org.mlflow.api.proto.Service.LogModelOrBuilder
-
ID of the run to log under
- getRunId() - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
ID of the run under which to log the param.
- getRunId() - Method in class org.mlflow.api.proto.Service.LogParam
-
ID of the run under which to log the param.
- getRunId() - Method in interface org.mlflow.api.proto.Service.LogParamOrBuilder
-
ID of the run under which to log the param.
- getRunId() - Method in class org.mlflow.api.proto.Service.RestoreRun.Builder
-
ID of the run to restore.
- getRunId() - Method in class org.mlflow.api.proto.Service.RestoreRun
-
ID of the run to restore.
- getRunId() - Method in interface org.mlflow.api.proto.Service.RestoreRunOrBuilder
-
ID of the run to restore.
- getRunId() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Unique identifier for the run.
- getRunId() - Method in class org.mlflow.api.proto.Service.RunInfo
-
Unique identifier for the run.
- getRunId() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
Unique identifier for the run.
- getRunId() - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
ID of the run under which to log the tag.
- getRunId() - Method in class org.mlflow.api.proto.Service.SetTag
-
ID of the run under which to log the tag.
- getRunId() - Method in interface org.mlflow.api.proto.Service.SetTagOrBuilder
-
ID of the run under which to log the tag.
- getRunId() - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
ID of the run to update.
- getRunId() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
ID of the run to update.
- getRunId() - Method in interface org.mlflow.api.proto.Service.UpdateRunOrBuilder
-
ID of the run to update.
- getRunIdBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The ID of the MLflow Run containing the artifact that can be accessed
with the credential
- getRunIdBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
The ID of the MLflow Run containing the artifact that can be accessed
with the credential
- getRunIdBytes() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
The ID of the MLflow Run containing the artifact that can be accessed
with the credential
- getRunIdBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
The ID of the MLflow Run for which to fetch artifact read credentials
- getRunIdBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
The ID of the MLflow Run for which to fetch artifact read credentials
- getRunIdBytes() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForReadOrBuilder
-
The ID of the MLflow Run for which to fetch artifact read credentials
- getRunIdBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
The ID of the MLflow Run for which to fetch artifact write credentials
- getRunIdBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
The ID of the MLflow Run for which to fetch artifact write credentials
- getRunIdBytes() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWriteOrBuilder
-
The ID of the MLflow Run for which to fetch artifact write credentials
- getRunIdBytes() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
MLflow run ID for correlation, if ``source`` was generated by an experiment run in
MLflow tracking server
- getRunIdBytes() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
MLflow run ID for correlation, if ``source`` was generated by an experiment run in
MLflow tracking server
- getRunIdBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
MLflow run ID for correlation, if ``source`` was generated by an experiment run in
MLflow tracking server
- getRunIdBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
MLflow run ID used when creating ``model_version``, if ``source`` was generated by an
experiment run stored in MLflow tracking server.
- getRunIdBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
MLflow run ID used when creating ``model_version``, if ``source`` was generated by an
experiment run stored in MLflow tracking server.
- getRunIdBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
MLflow run ID used when creating ``model_version``, if ``source`` was generated by an
experiment run stored in MLflow tracking server.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.DeleteRun.Builder
-
ID of the run to delete.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.DeleteRun
-
ID of the run to delete.
- getRunIdBytes() - Method in interface org.mlflow.api.proto.Service.DeleteRunOrBuilder
-
ID of the run to delete.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
ID of the run that the tag was logged under.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.DeleteTag
-
ID of the run that the tag was logged under.
- getRunIdBytes() - Method in interface org.mlflow.api.proto.Service.DeleteTagOrBuilder
-
ID of the run that the tag was logged under.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
ID of the run from which to fetch metric values.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.GetMetricHistory
-
ID of the run from which to fetch metric values.
- getRunIdBytes() - Method in interface org.mlflow.api.proto.Service.GetMetricHistoryOrBuilder
-
ID of the run from which to fetch metric values.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
ID of the run to fetch.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.GetRun
-
ID of the run to fetch.
- getRunIdBytes() - Method in interface org.mlflow.api.proto.Service.GetRunOrBuilder
-
ID of the run to fetch.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
ID of the run whose artifacts to list.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
ID of the run whose artifacts to list.
- getRunIdBytes() - Method in interface org.mlflow.api.proto.Service.ListArtifactsOrBuilder
-
ID of the run whose artifacts to list.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
ID of the run to log under
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.LogBatch
-
ID of the run to log under
- getRunIdBytes() - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
ID of the run to log under
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
ID of the run under which to log the metric.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.LogMetric
-
ID of the run under which to log the metric.
- getRunIdBytes() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
ID of the run under which to log the metric.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
ID of the run to log under
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.LogModel
-
ID of the run to log under
- getRunIdBytes() - Method in interface org.mlflow.api.proto.Service.LogModelOrBuilder
-
ID of the run to log under
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
ID of the run under which to log the param.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.LogParam
-
ID of the run under which to log the param.
- getRunIdBytes() - Method in interface org.mlflow.api.proto.Service.LogParamOrBuilder
-
ID of the run under which to log the param.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.RestoreRun.Builder
-
ID of the run to restore.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.RestoreRun
-
ID of the run to restore.
- getRunIdBytes() - Method in interface org.mlflow.api.proto.Service.RestoreRunOrBuilder
-
ID of the run to restore.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Unique identifier for the run.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.RunInfo
-
Unique identifier for the run.
- getRunIdBytes() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
Unique identifier for the run.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
ID of the run under which to log the tag.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.SetTag
-
ID of the run under which to log the tag.
- getRunIdBytes() - Method in interface org.mlflow.api.proto.Service.SetTagOrBuilder
-
ID of the run under which to log the tag.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
ID of the run to update.
- getRunIdBytes() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
ID of the run to update.
- getRunIdBytes() - Method in interface org.mlflow.api.proto.Service.UpdateRunOrBuilder
-
ID of the run to update.
- getRunInfo() - Method in class org.mlflow.api.proto.Service.UpdateRun.Response.Builder
-
Updated metadata of the run.
- getRunInfo() - Method in class org.mlflow.api.proto.Service.UpdateRun.Response
-
Updated metadata of the run.
- getRunInfo() - Method in interface org.mlflow.api.proto.Service.UpdateRun.ResponseOrBuilder
-
Updated metadata of the run.
- getRunInfoBuilder() - Method in class org.mlflow.api.proto.Service.UpdateRun.Response.Builder
-
Updated metadata of the run.
- getRunInfoOrBuilder() - Method in class org.mlflow.api.proto.Service.UpdateRun.Response.Builder
-
Updated metadata of the run.
- getRunInfoOrBuilder() - Method in class org.mlflow.api.proto.Service.UpdateRun.Response
-
Updated metadata of the run.
- getRunInfoOrBuilder() - Method in interface org.mlflow.api.proto.Service.UpdateRun.ResponseOrBuilder
-
Updated metadata of the run.
- getRunLink() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
MLflow run link - this is the exact link of the run that generated this model version,
potentially hosted at another instance of MLflow.
- getRunLink() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
MLflow run link - this is the exact link of the run that generated this model version,
potentially hosted at another instance of MLflow.
- getRunLink() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
MLflow run link - this is the exact link of the run that generated this model version,
potentially hosted at another instance of MLflow.
- getRunLink() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Run Link: Direct link to the run that generated this version
- getRunLink() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Run Link: Direct link to the run that generated this version
- getRunLink() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Run Link: Direct link to the run that generated this version
- getRunLinkBytes() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
MLflow run link - this is the exact link of the run that generated this model version,
potentially hosted at another instance of MLflow.
- getRunLinkBytes() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
MLflow run link - this is the exact link of the run that generated this model version,
potentially hosted at another instance of MLflow.
- getRunLinkBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
MLflow run link - this is the exact link of the run that generated this model version,
potentially hosted at another instance of MLflow.
- getRunLinkBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Run Link: Direct link to the run that generated this version
- getRunLinkBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Run Link: Direct link to the run that generated this version
- getRunLinkBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Run Link: Direct link to the run that generated this version
- getRunOrBuilder() - Method in class org.mlflow.api.proto.Service.CreateRun.Response.Builder
-
The newly created run.
- getRunOrBuilder() - Method in class org.mlflow.api.proto.Service.CreateRun.Response
-
The newly created run.
- getRunOrBuilder() - Method in interface org.mlflow.api.proto.Service.CreateRun.ResponseOrBuilder
-
The newly created run.
- getRunOrBuilder() - Method in class org.mlflow.api.proto.Service.GetRun.Response.Builder
-
Run metadata (name, start time, etc) and data (metrics, params, and tags).
- getRunOrBuilder() - Method in class org.mlflow.api.proto.Service.GetRun.Response
-
Run metadata (name, start time, etc) and data (metrics, params, and tags).
- getRunOrBuilder() - Method in interface org.mlflow.api.proto.Service.GetRun.ResponseOrBuilder
-
Run metadata (name, start time, etc) and data (metrics, params, and tags).
- getRuns(int) - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Deprecated.
- getRuns(int) - Method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
Deprecated.
- getRuns(int) - Method in interface org.mlflow.api.proto.Service.GetExperiment.ResponseOrBuilder
-
Deprecated.
- getRuns(int) - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
Runs that match the search criteria.
- getRuns(int) - Method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
Runs that match the search criteria.
- getRuns(int) - Method in interface org.mlflow.api.proto.Service.SearchRuns.ResponseOrBuilder
-
Runs that match the search criteria.
- getRunsBuilder(int) - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Deprecated.
- getRunsBuilder(int) - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
Runs that match the search criteria.
- getRunsBuilderList() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Deprecated.
- getRunsBuilderList() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
Runs that match the search criteria.
- getRunsCount() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Deprecated.
- getRunsCount() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
Deprecated.
- getRunsCount() - Method in interface org.mlflow.api.proto.Service.GetExperiment.ResponseOrBuilder
-
Deprecated.
- getRunsCount() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
Runs that match the search criteria.
- getRunsCount() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
Runs that match the search criteria.
- getRunsCount() - Method in interface org.mlflow.api.proto.Service.SearchRuns.ResponseOrBuilder
-
Runs that match the search criteria.
- getRunsList() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Deprecated.
- getRunsList() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
Deprecated.
- getRunsList() - Method in interface org.mlflow.api.proto.Service.GetExperiment.ResponseOrBuilder
-
Deprecated.
- getRunsList() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
Runs that match the search criteria.
- getRunsList() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
Runs that match the search criteria.
- getRunsList() - Method in interface org.mlflow.api.proto.Service.SearchRuns.ResponseOrBuilder
-
Runs that match the search criteria.
- getRunsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Deprecated.
- getRunsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
Deprecated.
- getRunsOrBuilder(int) - Method in interface org.mlflow.api.proto.Service.GetExperiment.ResponseOrBuilder
-
Deprecated.
- getRunsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
Runs that match the search criteria.
- getRunsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
Runs that match the search criteria.
- getRunsOrBuilder(int) - Method in interface org.mlflow.api.proto.Service.SearchRuns.ResponseOrBuilder
-
Runs that match the search criteria.
- getRunsOrBuilderList() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Deprecated.
- getRunsOrBuilderList() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
Deprecated.
- getRunsOrBuilderList() - Method in interface org.mlflow.api.proto.Service.GetExperiment.ResponseOrBuilder
-
Deprecated.
- getRunsOrBuilderList() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
Runs that match the search criteria.
- getRunsOrBuilderList() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
Runs that match the search criteria.
- getRunsOrBuilderList() - Method in interface org.mlflow.api.proto.Service.SearchRuns.ResponseOrBuilder
-
Runs that match the search criteria.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
[Deprecated, use run_id instead] ID of the run from which to fetch metric values.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.GetMetricHistory
-
[Deprecated, use run_id instead] ID of the run from which to fetch metric values.
- getRunUuid() - Method in interface org.mlflow.api.proto.Service.GetMetricHistoryOrBuilder
-
[Deprecated, use run_id instead] ID of the run from which to fetch metric values.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
[Deprecated, use run_id instead] ID of the run to fetch.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.GetRun
-
[Deprecated, use run_id instead] ID of the run to fetch.
- getRunUuid() - Method in interface org.mlflow.api.proto.Service.GetRunOrBuilder
-
[Deprecated, use run_id instead] ID of the run to fetch.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
[Deprecated, use run_id instead] ID of the run whose artifacts to list.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
[Deprecated, use run_id instead] ID of the run whose artifacts to list.
- getRunUuid() - Method in interface org.mlflow.api.proto.Service.ListArtifactsOrBuilder
-
[Deprecated, use run_id instead] ID of the run whose artifacts to list.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the metric.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.LogMetric
-
[Deprecated, use run_id instead] ID of the run under which to log the metric.
- getRunUuid() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
[Deprecated, use run_id instead] ID of the run under which to log the metric.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the param.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.LogParam
-
[Deprecated, use run_id instead] ID of the run under which to log the param.
- getRunUuid() - Method in interface org.mlflow.api.proto.Service.LogParamOrBuilder
-
[Deprecated, use run_id instead] ID of the run under which to log the param.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
[Deprecated, use run_id instead] Unique identifier for the run.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.RunInfo
-
[Deprecated, use run_id instead] Unique identifier for the run.
- getRunUuid() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
[Deprecated, use run_id instead] Unique identifier for the run.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the tag.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.SetTag
-
[Deprecated, use run_id instead] ID of the run under which to log the tag.
- getRunUuid() - Method in interface org.mlflow.api.proto.Service.SetTagOrBuilder
-
[Deprecated, use run_id instead] ID of the run under which to log the tag.
- getRunUuid() - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
[Deprecated, use run_id instead] ID of the run to update..
- getRunUuid() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
[Deprecated, use run_id instead] ID of the run to update..
- getRunUuid() - Method in interface org.mlflow.api.proto.Service.UpdateRunOrBuilder
-
[Deprecated, use run_id instead] ID of the run to update..
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
[Deprecated, use run_id instead] ID of the run from which to fetch metric values.
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.GetMetricHistory
-
[Deprecated, use run_id instead] ID of the run from which to fetch metric values.
- getRunUuidBytes() - Method in interface org.mlflow.api.proto.Service.GetMetricHistoryOrBuilder
-
[Deprecated, use run_id instead] ID of the run from which to fetch metric values.
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
[Deprecated, use run_id instead] ID of the run to fetch.
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.GetRun
-
[Deprecated, use run_id instead] ID of the run to fetch.
- getRunUuidBytes() - Method in interface org.mlflow.api.proto.Service.GetRunOrBuilder
-
[Deprecated, use run_id instead] ID of the run to fetch.
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
[Deprecated, use run_id instead] ID of the run whose artifacts to list.
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
[Deprecated, use run_id instead] ID of the run whose artifacts to list.
- getRunUuidBytes() - Method in interface org.mlflow.api.proto.Service.ListArtifactsOrBuilder
-
[Deprecated, use run_id instead] ID of the run whose artifacts to list.
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the metric.
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.LogMetric
-
[Deprecated, use run_id instead] ID of the run under which to log the metric.
- getRunUuidBytes() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
[Deprecated, use run_id instead] ID of the run under which to log the metric.
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the param.
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.LogParam
-
[Deprecated, use run_id instead] ID of the run under which to log the param.
- getRunUuidBytes() - Method in interface org.mlflow.api.proto.Service.LogParamOrBuilder
-
[Deprecated, use run_id instead] ID of the run under which to log the param.
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
[Deprecated, use run_id instead] Unique identifier for the run.
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.RunInfo
-
[Deprecated, use run_id instead] Unique identifier for the run.
- getRunUuidBytes() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
[Deprecated, use run_id instead] Unique identifier for the run.
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the tag.
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.SetTag
-
[Deprecated, use run_id instead] ID of the run under which to log the tag.
- getRunUuidBytes() - Method in interface org.mlflow.api.proto.Service.SetTagOrBuilder
-
[Deprecated, use run_id instead] ID of the run under which to log the tag.
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
[Deprecated, use run_id instead] ID of the run to update..
- getRunUuidBytes() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
[Deprecated, use run_id instead] ID of the run to update..
- getRunUuidBytes() - Method in interface org.mlflow.api.proto.Service.UpdateRunOrBuilder
-
[Deprecated, use run_id instead] ID of the run to update..
- getRunViewType() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
Whether to display only active, only deleted, or all runs.
- getRunViewType() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
Whether to display only active, only deleted, or all runs.
- getRunViewType() - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
Whether to display only active, only deleted, or all runs.
- getSerializedSize() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
- getSerializedSize() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader
-
- getSerializedSize() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
- getSerializedSize() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
- getSerializedSize() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
- getSerializedSize() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel
-
- getSerializedSize() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.CreateExperiment
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.CreateRun
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.CreateRun.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.DeleteExperiment
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.DeleteRun
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.DeleteRun.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.DeleteTag
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.DeleteTag.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.Experiment
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.ExperimentTag
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.FileInfo
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.GetExperiment
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.GetExperimentByName
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.GetMetricHistory
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.GetRun
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.GetRun.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.ListExperiments
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.LogBatch
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.LogBatch.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.LogMetric
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.LogMetric.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.LogModel
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.LogModel.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.LogParam
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.LogParam.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.Metric
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.Param
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.RestoreExperiment
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.RestoreRun
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.RestoreRun.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.Run
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.RunData
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.RunInfo
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.RunTag
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.SetExperimentTag
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.SetTag
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.SetTag.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.UpdateExperiment
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Response
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
- getSerializedSize() - Method in class org.mlflow.api.proto.Service.UpdateRun.Response
-
- getSignedUri() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The signed URI credential that provides access to the artifact
- getSignedUri() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
The signed URI credential that provides access to the artifact
- getSignedUri() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
The signed URI credential that provides access to the artifact
- getSignedUriBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The signed URI credential that provides access to the artifact
- getSignedUriBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
The signed URI credential that provides access to the artifact
- getSignedUriBytes() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
The signed URI credential that provides access to the artifact
- getSource() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
URI indicating the location of the model artifacts.
- getSource() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
URI indicating the location of the model artifacts.
- getSource() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
URI indicating the location of the model artifacts.
- getSource() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
URI indicating the location of the source model artifacts, used when creating ``model_version``
- getSource() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
URI indicating the location of the source model artifacts, used when creating ``model_version``
- getSource() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
URI indicating the location of the source model artifacts, used when creating ``model_version``
- getSourceBytes() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
URI indicating the location of the model artifacts.
- getSourceBytes() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
URI indicating the location of the model artifacts.
- getSourceBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
URI indicating the location of the model artifacts.
- getSourceBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
URI indicating the location of the source model artifacts, used when creating ``model_version``
- getSourceBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
URI indicating the location of the source model artifacts, used when creating ``model_version``
- getSourceBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
URI indicating the location of the source model artifacts, used when creating ``model_version``
- getStage() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Transition `model_version` to new stage.
- getStage() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
Transition `model_version` to new stage.
- getStage() - Method in interface org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStageOrBuilder
-
Transition `model_version` to new stage.
- getStageBytes() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Transition `model_version` to new stage.
- getStageBytes() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
Transition `model_version` to new stage.
- getStageBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStageOrBuilder
-
Transition `model_version` to new stage.
- getStages(int) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
List of stages.
- getStages(int) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
-
List of stages.
- getStages(int) - Method in interface org.mlflow.api.proto.ModelRegistry.GetLatestVersionsOrBuilder
-
List of stages.
- getStagesBytes(int) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
List of stages.
- getStagesBytes(int) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
-
List of stages.
- getStagesBytes(int) - Method in interface org.mlflow.api.proto.ModelRegistry.GetLatestVersionsOrBuilder
-
List of stages.
- getStagesCount() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
List of stages.
- getStagesCount() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
-
List of stages.
- getStagesCount() - Method in interface org.mlflow.api.proto.ModelRegistry.GetLatestVersionsOrBuilder
-
List of stages.
- getStagesList() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
List of stages.
- getStagesList() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
-
List of stages.
- getStagesList() - Method in interface org.mlflow.api.proto.ModelRegistry.GetLatestVersionsOrBuilder
-
List of stages.
- getStartTime() - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
Unix timestamp in milliseconds of when the run started.
- getStartTime() - Method in class org.mlflow.api.proto.Service.CreateRun
-
Unix timestamp in milliseconds of when the run started.
- getStartTime() - Method in interface org.mlflow.api.proto.Service.CreateRunOrBuilder
-
Unix timestamp in milliseconds of when the run started.
- getStartTime() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Unix timestamp of when the run started in milliseconds.
- getStartTime() - Method in class org.mlflow.api.proto.Service.RunInfo
-
Unix timestamp of when the run started in milliseconds.
- getStartTime() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
Unix timestamp of when the run started in milliseconds.
- getStatus() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Current status of ``model_version``
- getStatus() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Current status of ``model_version``
- getStatus() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Current status of ``model_version``
- getStatus() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Current status of the run.
- getStatus() - Method in class org.mlflow.api.proto.Service.RunInfo
-
Current status of the run.
- getStatus() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
Current status of the run.
- getStatus() - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
Updated status of the run.
- getStatus() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
Updated status of the run.
- getStatus() - Method in interface org.mlflow.api.proto.Service.UpdateRunOrBuilder
-
Updated status of the run.
- getStatusCode() - Method in exception org.mlflow.tracking.MlflowHttpException
-
- getStatusMessage() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Details on current ``status``, if it is pending or failed.
- getStatusMessage() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Details on current ``status``, if it is pending or failed.
- getStatusMessage() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Details on current ``status``, if it is pending or failed.
- getStatusMessageBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Details on current ``status``, if it is pending or failed.
- getStatusMessageBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Details on current ``status``, if it is pending or failed.
- getStatusMessageBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Details on current ``status``, if it is pending or failed.
- getStep() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
Step at which to log the metric
- getStep() - Method in class org.mlflow.api.proto.Service.LogMetric
-
Step at which to log the metric
- getStep() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
Step at which to log the metric
- getStep() - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
Step at which to log the metric.
- getStep() - Method in class org.mlflow.api.proto.Service.Metric
-
Step at which to log the metric.
- getStep() - Method in interface org.mlflow.api.proto.Service.MetricOrBuilder
-
Step at which to log the metric.
- getTags(int) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Additional metadata for model version.
- getTags(int) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
Additional metadata for model version.
- getTags(int) - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
Additional metadata for model version.
- getTags(int) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Additional metadata for registered model.
- getTags(int) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
Additional metadata for registered model.
- getTags(int) - Method in interface org.mlflow.api.proto.ModelRegistry.CreateRegisteredModelOrBuilder
-
Additional metadata for registered model.
- getTags(int) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTags(int) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTags(int) - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTags(int) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTags(int) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTags(int) - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTags(int) - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
Additional metadata for run.
- getTags(int) - Method in class org.mlflow.api.proto.Service.CreateRun
-
Additional metadata for run.
- getTags(int) - Method in interface org.mlflow.api.proto.Service.CreateRunOrBuilder
-
Additional metadata for run.
- getTags(int) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Tags: Additional metadata key-value pairs.
- getTags(int) - Method in class org.mlflow.api.proto.Service.Experiment
-
Tags: Additional metadata key-value pairs.
- getTags(int) - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Tags: Additional metadata key-value pairs.
- getTags(int) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Tags to log.
- getTags(int) - Method in class org.mlflow.api.proto.Service.LogBatch
-
Tags to log.
- getTags(int) - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Tags to log.
- getTags(int) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Additional metadata key-value pairs.
- getTags(int) - Method in class org.mlflow.api.proto.Service.RunData
-
Additional metadata key-value pairs.
- getTags(int) - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Additional metadata key-value pairs.
- getTags() - Method in class org.mlflow.tracking.utils.DatabricksContext
-
- getTagsBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Additional metadata for model version.
- getTagsBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Additional metadata for registered model.
- getTagsBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTagsBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTagsBuilder(int) - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
Additional metadata for run.
- getTagsBuilder(int) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Tags: Additional metadata key-value pairs.
- getTagsBuilder(int) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Tags to log.
- getTagsBuilder(int) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Additional metadata key-value pairs.
- getTagsBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Additional metadata for model version.
- getTagsBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Additional metadata for registered model.
- getTagsBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTagsBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTagsBuilderList() - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
Additional metadata for run.
- getTagsBuilderList() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Tags: Additional metadata key-value pairs.
- getTagsBuilderList() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Tags to log.
- getTagsBuilderList() - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Additional metadata key-value pairs.
- getTagsCount() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Additional metadata for model version.
- getTagsCount() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
Additional metadata for model version.
- getTagsCount() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
Additional metadata for model version.
- getTagsCount() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Additional metadata for registered model.
- getTagsCount() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
Additional metadata for registered model.
- getTagsCount() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateRegisteredModelOrBuilder
-
Additional metadata for registered model.
- getTagsCount() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTagsCount() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTagsCount() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTagsCount() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTagsCount() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTagsCount() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTagsCount() - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
Additional metadata for run.
- getTagsCount() - Method in class org.mlflow.api.proto.Service.CreateRun
-
Additional metadata for run.
- getTagsCount() - Method in interface org.mlflow.api.proto.Service.CreateRunOrBuilder
-
Additional metadata for run.
- getTagsCount() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Tags: Additional metadata key-value pairs.
- getTagsCount() - Method in class org.mlflow.api.proto.Service.Experiment
-
Tags: Additional metadata key-value pairs.
- getTagsCount() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Tags: Additional metadata key-value pairs.
- getTagsCount() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Tags to log.
- getTagsCount() - Method in class org.mlflow.api.proto.Service.LogBatch
-
Tags to log.
- getTagsCount() - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Tags to log.
- getTagsCount() - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Additional metadata key-value pairs.
- getTagsCount() - Method in class org.mlflow.api.proto.Service.RunData
-
Additional metadata key-value pairs.
- getTagsCount() - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Additional metadata key-value pairs.
- getTagsList() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Additional metadata for model version.
- getTagsList() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
Additional metadata for model version.
- getTagsList() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
Additional metadata for model version.
- getTagsList() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Additional metadata for registered model.
- getTagsList() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
Additional metadata for registered model.
- getTagsList() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateRegisteredModelOrBuilder
-
Additional metadata for registered model.
- getTagsList() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTagsList() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTagsList() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTagsList() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTagsList() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTagsList() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTagsList() - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
Additional metadata for run.
- getTagsList() - Method in class org.mlflow.api.proto.Service.CreateRun
-
Additional metadata for run.
- getTagsList() - Method in interface org.mlflow.api.proto.Service.CreateRunOrBuilder
-
Additional metadata for run.
- getTagsList() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Tags: Additional metadata key-value pairs.
- getTagsList() - Method in class org.mlflow.api.proto.Service.Experiment
-
Tags: Additional metadata key-value pairs.
- getTagsList() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Tags: Additional metadata key-value pairs.
- getTagsList() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Tags to log.
- getTagsList() - Method in class org.mlflow.api.proto.Service.LogBatch
-
Tags to log.
- getTagsList() - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Tags to log.
- getTagsList() - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Additional metadata key-value pairs.
- getTagsList() - Method in class org.mlflow.api.proto.Service.RunData
-
Additional metadata key-value pairs.
- getTagsList() - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Additional metadata key-value pairs.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Additional metadata for model version.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
Additional metadata for model version.
- getTagsOrBuilder(int) - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
Additional metadata for model version.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Additional metadata for registered model.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
Additional metadata for registered model.
- getTagsOrBuilder(int) - Method in interface org.mlflow.api.proto.ModelRegistry.CreateRegisteredModelOrBuilder
-
Additional metadata for registered model.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTagsOrBuilder(int) - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTagsOrBuilder(int) - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
Additional metadata for run.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.CreateRun
-
Additional metadata for run.
- getTagsOrBuilder(int) - Method in interface org.mlflow.api.proto.Service.CreateRunOrBuilder
-
Additional metadata for run.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Tags: Additional metadata key-value pairs.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.Experiment
-
Tags: Additional metadata key-value pairs.
- getTagsOrBuilder(int) - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Tags: Additional metadata key-value pairs.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Tags to log.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.LogBatch
-
Tags to log.
- getTagsOrBuilder(int) - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Tags to log.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Additional metadata key-value pairs.
- getTagsOrBuilder(int) - Method in class org.mlflow.api.proto.Service.RunData
-
Additional metadata key-value pairs.
- getTagsOrBuilder(int) - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Additional metadata key-value pairs.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Additional metadata for model version.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
Additional metadata for model version.
- getTagsOrBuilderList() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
Additional metadata for model version.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Additional metadata for registered model.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
Additional metadata for registered model.
- getTagsOrBuilderList() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateRegisteredModelOrBuilder
-
Additional metadata for registered model.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTagsOrBuilderList() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTagsOrBuilderList() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
Additional metadata for run.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.Service.CreateRun
-
Additional metadata for run.
- getTagsOrBuilderList() - Method in interface org.mlflow.api.proto.Service.CreateRunOrBuilder
-
Additional metadata for run.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Tags: Additional metadata key-value pairs.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.Service.Experiment
-
Tags: Additional metadata key-value pairs.
- getTagsOrBuilderList() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Tags: Additional metadata key-value pairs.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Tags to log.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.Service.LogBatch
-
Tags to log.
- getTagsOrBuilderList() - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
Tags to log.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Additional metadata key-value pairs.
- getTagsOrBuilderList() - Method in class org.mlflow.api.proto.Service.RunData
-
Additional metadata key-value pairs.
- getTagsOrBuilderList() - Method in interface org.mlflow.api.proto.Service.RunDataOrBuilder
-
Additional metadata key-value pairs.
- getTimestamp() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
Unix timestamp in milliseconds at the time metric was logged.
- getTimestamp() - Method in class org.mlflow.api.proto.Service.LogMetric
-
Unix timestamp in milliseconds at the time metric was logged.
- getTimestamp() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
Unix timestamp in milliseconds at the time metric was logged.
- getTimestamp() - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
The timestamp at which this metric was recorded.
- getTimestamp() - Method in class org.mlflow.api.proto.Service.Metric
-
The timestamp at which this metric was recorded.
- getTimestamp() - Method in interface org.mlflow.api.proto.Service.MetricOrBuilder
-
The timestamp at which this metric was recorded.
- getToken() - Method in class org.mlflow.tracking.creds.BasicMlflowHostCreds
-
- getToken() - Method in interface org.mlflow.tracking.creds.MlflowHostCreds
-
Token to use with Bearer authentication when talking to server.
- getType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The type of the signed credential URI (e.g., an AWS presigned URL
or an Azure Shared Access Signature URI)
- getType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
The type of the signed credential URI (e.g., an AWS presigned URL
or an Azure Shared Access Signature URI)
- getType() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
The type of the signed credential URI (e.g., an AWS presigned URL
or an Azure Shared Access Signature URI)
- getUnknownFields() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
- getUnknownFields() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader
-
- getUnknownFields() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
- getUnknownFields() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
- getUnknownFields() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
- getUnknownFields() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel
-
- getUnknownFields() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.CreateExperiment
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.CreateRun
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.CreateRun.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.DeleteExperiment
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.DeleteRun
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.DeleteRun.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.DeleteTag
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.DeleteTag.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.Experiment
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.ExperimentTag
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.FileInfo
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.GetExperiment
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.GetExperimentByName
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.GetMetricHistory
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.GetRun
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.GetRun.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.ListExperiments
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.LogBatch
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.LogBatch.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.LogMetric
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.LogMetric.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.LogModel
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.LogModel.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.LogParam
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.LogParam.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.Metric
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.Param
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.RestoreExperiment
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.RestoreRun
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.RestoreRun.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.Run
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.RunData
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.RunInfo
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.RunTag
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.SetExperimentTag
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.SetTag
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.SetTag.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.UpdateExperiment
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Response
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
- getUnknownFields() - Method in class org.mlflow.api.proto.Service.UpdateRun.Response
-
- getUserId() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
User that created this ``model_version``.
- getUserId() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
User that created this ``model_version``.
- getUserId() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
User that created this ``model_version``.
- getUserId() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
User that created this ``registered_model``
NOTE: this field is not currently returned.
- getUserId() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
User that created this ``registered_model``
NOTE: this field is not currently returned.
- getUserId() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
User that created this ``registered_model``
NOTE: this field is not currently returned.
- getUserId() - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
ID of the user executing the run.
- getUserId() - Method in class org.mlflow.api.proto.Service.CreateRun
-
ID of the user executing the run.
- getUserId() - Method in interface org.mlflow.api.proto.Service.CreateRunOrBuilder
-
ID of the user executing the run.
- getUserId() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
User who initiated the run.
- getUserId() - Method in class org.mlflow.api.proto.Service.RunInfo
-
User who initiated the run.
- getUserId() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
User who initiated the run.
- getUserIdBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
User that created this ``model_version``.
- getUserIdBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
User that created this ``model_version``.
- getUserIdBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
User that created this ``model_version``.
- getUserIdBytes() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
User that created this ``registered_model``
NOTE: this field is not currently returned.
- getUserIdBytes() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
User that created this ``registered_model``
NOTE: this field is not currently returned.
- getUserIdBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
User that created this ``registered_model``
NOTE: this field is not currently returned.
- getUserIdBytes() - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
ID of the user executing the run.
- getUserIdBytes() - Method in class org.mlflow.api.proto.Service.CreateRun
-
ID of the user executing the run.
- getUserIdBytes() - Method in interface org.mlflow.api.proto.Service.CreateRunOrBuilder
-
ID of the user executing the run.
- getUserIdBytes() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
User who initiated the run.
- getUserIdBytes() - Method in class org.mlflow.api.proto.Service.RunInfo
-
User who initiated the run.
- getUserIdBytes() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
User who initiated the run.
- getUsername() - Method in class org.mlflow.tracking.creds.BasicMlflowHostCreds
-
- getUsername() - Method in interface org.mlflow.tracking.creds.MlflowHostCreds
-
Username to use with Basic authentication when talking to server.
- getValue() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
The HTTP header value
- getValue() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader
-
The HTTP header value
- getValue() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeaderOrBuilder
-
The HTTP header value
- getValue() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
The tag value.
- getValue() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag
-
The tag value.
- getValue() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionTagOrBuilder
-
The tag value.
- getValue() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
The tag value.
- getValue() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag
-
The tag value.
- getValue() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelTagOrBuilder
-
The tag value.
- getValue() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
String value of the tag being logged.
- getValue() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
String value of the tag being logged.
- getValue() - Method in interface org.mlflow.api.proto.ModelRegistry.SetModelVersionTagOrBuilder
-
String value of the tag being logged.
- getValue() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
String value of the tag being logged.
- getValue() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
String value of the tag being logged.
- getValue() - Method in interface org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTagOrBuilder
-
String value of the tag being logged.
- getValue() - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
The tag value.
- getValue() - Method in class org.mlflow.api.proto.Service.ExperimentTag
-
The tag value.
- getValue() - Method in interface org.mlflow.api.proto.Service.ExperimentTagOrBuilder
-
The tag value.
- getValue() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
Double value of the metric being logged.
- getValue() - Method in class org.mlflow.api.proto.Service.LogMetric
-
Double value of the metric being logged.
- getValue() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
Double value of the metric being logged.
- getValue() - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
String value of the param being logged.
- getValue() - Method in class org.mlflow.api.proto.Service.LogParam
-
String value of the param being logged.
- getValue() - Method in interface org.mlflow.api.proto.Service.LogParamOrBuilder
-
String value of the param being logged.
- getValue() - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
Value associated with this metric.
- getValue() - Method in class org.mlflow.api.proto.Service.Metric
-
Value associated with this metric.
- getValue() - Method in interface org.mlflow.api.proto.Service.MetricOrBuilder
-
Value associated with this metric.
- getValue() - Method in class org.mlflow.api.proto.Service.Param.Builder
-
Value associated with this param.
- getValue() - Method in class org.mlflow.api.proto.Service.Param
-
Value associated with this param.
- getValue() - Method in interface org.mlflow.api.proto.Service.ParamOrBuilder
-
Value associated with this param.
- getValue() - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
The tag value.
- getValue() - Method in class org.mlflow.api.proto.Service.RunTag
-
The tag value.
- getValue() - Method in interface org.mlflow.api.proto.Service.RunTagOrBuilder
-
The tag value.
- getValue() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
String value of the tag being logged.
- getValue() - Method in class org.mlflow.api.proto.Service.SetExperimentTag
-
String value of the tag being logged.
- getValue() - Method in interface org.mlflow.api.proto.Service.SetExperimentTagOrBuilder
-
String value of the tag being logged.
- getValue() - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
String value of the tag being logged.
- getValue() - Method in class org.mlflow.api.proto.Service.SetTag
-
String value of the tag being logged.
- getValue() - Method in interface org.mlflow.api.proto.Service.SetTagOrBuilder
-
String value of the tag being logged.
- getValueBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
The HTTP header value
- getValueBytes() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader
-
The HTTP header value
- getValueBytes() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeaderOrBuilder
-
The HTTP header value
- getValueBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
The tag value.
- getValueBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag
-
The tag value.
- getValueBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionTagOrBuilder
-
The tag value.
- getValueBytes() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
The tag value.
- getValueBytes() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag
-
The tag value.
- getValueBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelTagOrBuilder
-
The tag value.
- getValueBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
String value of the tag being logged.
- getValueBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
String value of the tag being logged.
- getValueBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.SetModelVersionTagOrBuilder
-
String value of the tag being logged.
- getValueBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
String value of the tag being logged.
- getValueBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
String value of the tag being logged.
- getValueBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTagOrBuilder
-
String value of the tag being logged.
- getValueBytes() - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
The tag value.
- getValueBytes() - Method in class org.mlflow.api.proto.Service.ExperimentTag
-
The tag value.
- getValueBytes() - Method in interface org.mlflow.api.proto.Service.ExperimentTagOrBuilder
-
The tag value.
- getValueBytes() - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
String value of the param being logged.
- getValueBytes() - Method in class org.mlflow.api.proto.Service.LogParam
-
String value of the param being logged.
- getValueBytes() - Method in interface org.mlflow.api.proto.Service.LogParamOrBuilder
-
String value of the param being logged.
- getValueBytes() - Method in class org.mlflow.api.proto.Service.Param.Builder
-
Value associated with this param.
- getValueBytes() - Method in class org.mlflow.api.proto.Service.Param
-
Value associated with this param.
- getValueBytes() - Method in interface org.mlflow.api.proto.Service.ParamOrBuilder
-
Value associated with this param.
- getValueBytes() - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
The tag value.
- getValueBytes() - Method in class org.mlflow.api.proto.Service.RunTag
-
The tag value.
- getValueBytes() - Method in interface org.mlflow.api.proto.Service.RunTagOrBuilder
-
The tag value.
- getValueBytes() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
String value of the tag being logged.
- getValueBytes() - Method in class org.mlflow.api.proto.Service.SetExperimentTag
-
String value of the tag being logged.
- getValueBytes() - Method in interface org.mlflow.api.proto.Service.SetExperimentTagOrBuilder
-
String value of the tag being logged.
- getValueBytes() - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
String value of the tag being logged.
- getValueBytes() - Method in class org.mlflow.api.proto.Service.SetTag
-
String value of the tag being logged.
- getValueBytes() - Method in interface org.mlflow.api.proto.Service.SetTagOrBuilder
-
String value of the tag being logged.
- getValueDescriptor() - Method in enum com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialType
-
- getValueDescriptor() - Method in enum org.mlflow.api.proto.ModelRegistry.ModelVersionStatus
-
- getValueDescriptor() - Method in enum org.mlflow.api.proto.Service.RunStatus
-
- getValueDescriptor() - Method in enum org.mlflow.api.proto.Service.SourceType
-
- getValueDescriptor() - Method in enum org.mlflow.api.proto.Service.ViewType
-
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
Model version number
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion
-
Model version number
- getVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionOrBuilder
-
Model version number
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Model version number that the tag was logged under.
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
Model version number that the tag was logged under.
- getVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTagOrBuilder
-
Model version number that the tag was logged under.
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
Model version number
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion
-
Model version number
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
Model version number
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri
-
Model version number
- getVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUriOrBuilder
-
Model version number
- getVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionOrBuilder
-
Model version number
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Model's version number.
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Model's version number.
- getVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Model's version number.
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Model version number.
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
Model version number.
- getVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.SetModelVersionTagOrBuilder
-
Model version number.
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Model version number
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
Model version number
- getVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStageOrBuilder
-
Model version number
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
Model version number
- getVersion() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
Model version number
- getVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateModelVersionOrBuilder
-
Model version number
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
Model version number
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion
-
Model version number
- getVersionBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionOrBuilder
-
Model version number
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Model version number that the tag was logged under.
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
Model version number that the tag was logged under.
- getVersionBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTagOrBuilder
-
Model version number that the tag was logged under.
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
Model version number
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion
-
Model version number
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
Model version number
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri
-
Model version number
- getVersionBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUriOrBuilder
-
Model version number
- getVersionBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionOrBuilder
-
Model version number
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Model's version number.
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Model's version number.
- getVersionBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Model's version number.
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Model version number.
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
Model version number.
- getVersionBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.SetModelVersionTagOrBuilder
-
Model version number.
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Model version number
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
Model version number
- getVersionBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStageOrBuilder
-
Model version number
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
Model version number
- getVersionBytes() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
Model version number
- getVersionBytes() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateModelVersionOrBuilder
-
Model version number
- getViewType() - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
Qualifier for type of experiments to be returned.
- getViewType() - Method in class org.mlflow.api.proto.Service.ListExperiments
-
Qualifier for type of experiments to be returned.
- getViewType() - Method in interface org.mlflow.api.proto.Service.ListExperimentsOrBuilder
-
Qualifier for type of experiments to be returned.
- hasArchiveExistingVersions() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
When transitioning a model version to a particular stage, this flag dictates whether all
existing model versions in that stage should be atomically moved to the "archived" stage.
- hasArchiveExistingVersions() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
When transitioning a model version to a particular stage, this flag dictates whether all
existing model versions in that stage should be atomically moved to the "archived" stage.
- hasArchiveExistingVersions() - Method in interface org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStageOrBuilder
-
When transitioning a model version to a particular stage, this flag dictates whether all
existing model versions in that stage should be atomically moved to the "archived" stage.
- hasArtifactLocation() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
Location where all artifacts for the experiment are stored.
- hasArtifactLocation() - Method in class org.mlflow.api.proto.Service.CreateExperiment
-
Location where all artifacts for the experiment are stored.
- hasArtifactLocation() - Method in interface org.mlflow.api.proto.Service.CreateExperimentOrBuilder
-
Location where all artifacts for the experiment are stored.
- hasArtifactLocation() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Location where artifacts for the experiment are stored.
- hasArtifactLocation() - Method in class org.mlflow.api.proto.Service.Experiment
-
Location where artifacts for the experiment are stored.
- hasArtifactLocation() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Location where artifacts for the experiment are stored.
- hasArtifactUri() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response.Builder
-
URI corresponding to where artifacts for this model version are stored.
- hasArtifactUri() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response
-
URI corresponding to where artifacts for this model version are stored.
- hasArtifactUri() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.ResponseOrBuilder
-
URI corresponding to where artifacts for this model version are stored.
- hasArtifactUri() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
URI of the directory where artifacts should be uploaded.
- hasArtifactUri() - Method in class org.mlflow.api.proto.Service.RunInfo
-
URI of the directory where artifacts should be uploaded.
- hasArtifactUri() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
URI of the directory where artifacts should be uploaded.
- hasCreationTime() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Creation time
- hasCreationTime() - Method in class org.mlflow.api.proto.Service.Experiment
-
Creation time
- hasCreationTime() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Creation time
- hasCreationTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Timestamp recorded when this ``model_version`` was created.
- hasCreationTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Timestamp recorded when this ``model_version`` was created.
- hasCreationTimestamp() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Timestamp recorded when this ``model_version`` was created.
- hasCreationTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Timestamp recorded when this ``registered_model`` was created.
- hasCreationTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Timestamp recorded when this ``registered_model`` was created.
- hasCreationTimestamp() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Timestamp recorded when this ``registered_model`` was created.
- hasCurrentStage() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Current stage for this ``model_version``.
- hasCurrentStage() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Current stage for this ``model_version``.
- hasCurrentStage() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Current stage for this ``model_version``.
- hasData() - Method in class org.mlflow.api.proto.Service.Run.Builder
-
Run data.
- hasData() - Method in class org.mlflow.api.proto.Service.Run
-
Run data.
- hasData() - Method in interface org.mlflow.api.proto.Service.RunOrBuilder
-
Run data.
- hasDescription() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Optional description for model version.
- hasDescription() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
Optional description for model version.
- hasDescription() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
Optional description for model version.
- hasDescription() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Optional description for registered model.
- hasDescription() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
Optional description for registered model.
- hasDescription() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateRegisteredModelOrBuilder
-
Optional description for registered model.
- hasDescription() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Description of this ``model_version``.
- hasDescription() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Description of this ``model_version``.
- hasDescription() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Description of this ``model_version``.
- hasDescription() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Description of this ``registered_model``.
- hasDescription() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Description of this ``registered_model``.
- hasDescription() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Description of this ``registered_model``.
- hasDescription() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
If provided, updates the description for this ``registered_model``.
- hasDescription() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
If provided, updates the description for this ``registered_model``.
- hasDescription() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateModelVersionOrBuilder
-
If provided, updates the description for this ``registered_model``.
- hasDescription() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
If provided, updates the description for this ``registered_model``.
- hasDescription() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel
-
If provided, updates the description for this ``registered_model``.
- hasDescription() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModelOrBuilder
-
If provided, updates the description for this ``registered_model``.
- hasEndTime() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Unix timestamp of when the run ended in milliseconds.
- hasEndTime() - Method in class org.mlflow.api.proto.Service.RunInfo
-
Unix timestamp of when the run ended in milliseconds.
- hasEndTime() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
Unix timestamp of when the run ended in milliseconds.
- hasEndTime() - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
Unix timestamp in milliseconds of when the run ended.
- hasEndTime() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
Unix timestamp in milliseconds of when the run ended.
- hasEndTime() - Method in interface org.mlflow.api.proto.Service.UpdateRunOrBuilder
-
Unix timestamp in milliseconds of when the run ended.
- hasExperiment() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Experiment details.
- hasExperiment() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
Experiment details.
- hasExperiment() - Method in interface org.mlflow.api.proto.Service.GetExperiment.ResponseOrBuilder
-
Experiment details.
- hasExperiment() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response.Builder
-
Experiment details.
- hasExperiment() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response
-
Experiment details.
- hasExperiment() - Method in interface org.mlflow.api.proto.Service.GetExperimentByName.ResponseOrBuilder
-
Experiment details.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response.Builder
-
Unique identifier for the experiment.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response
-
Unique identifier for the experiment.
- hasExperimentId() - Method in interface org.mlflow.api.proto.Service.CreateExperiment.ResponseOrBuilder
-
Unique identifier for the experiment.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
ID of the associated experiment.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.CreateRun
-
ID of the associated experiment.
- hasExperimentId() - Method in interface org.mlflow.api.proto.Service.CreateRunOrBuilder
-
ID of the associated experiment.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Builder
-
ID of the associated experiment.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.DeleteExperiment
-
ID of the associated experiment.
- hasExperimentId() - Method in interface org.mlflow.api.proto.Service.DeleteExperimentOrBuilder
-
ID of the associated experiment.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Unique identifier for the experiment.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.Experiment
-
Unique identifier for the experiment.
- hasExperimentId() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Unique identifier for the experiment.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.GetExperiment.Builder
-
ID of the associated experiment.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.GetExperiment
-
ID of the associated experiment.
- hasExperimentId() - Method in interface org.mlflow.api.proto.Service.GetExperimentOrBuilder
-
ID of the associated experiment.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Builder
-
ID of the associated experiment.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.RestoreExperiment
-
ID of the associated experiment.
- hasExperimentId() - Method in interface org.mlflow.api.proto.Service.RestoreExperimentOrBuilder
-
ID of the associated experiment.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
The experiment ID.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.RunInfo
-
The experiment ID.
- hasExperimentId() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
The experiment ID.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
ID of the experiment under which to log the tag.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.SetExperimentTag
-
ID of the experiment under which to log the tag.
- hasExperimentId() - Method in interface org.mlflow.api.proto.Service.SetExperimentTagOrBuilder
-
ID of the experiment under which to log the tag.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
ID of the associated experiment.
- hasExperimentId() - Method in class org.mlflow.api.proto.Service.UpdateExperiment
-
ID of the associated experiment.
- hasExperimentId() - Method in interface org.mlflow.api.proto.Service.UpdateExperimentOrBuilder
-
ID of the associated experiment.
- hasExperimentName() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Builder
-
Name of the associated experiment.
- hasExperimentName() - Method in class org.mlflow.api.proto.Service.GetExperimentByName
-
Name of the associated experiment.
- hasExperimentName() - Method in interface org.mlflow.api.proto.Service.GetExperimentByNameOrBuilder
-
Name of the associated experiment.
- hasFileSize() - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
Size in bytes.
- hasFileSize() - Method in class org.mlflow.api.proto.Service.FileInfo
-
Size in bytes.
- hasFileSize() - Method in interface org.mlflow.api.proto.Service.FileInfoOrBuilder
-
Size in bytes.
- hasFilter() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
String filter condition, like "name='my-model-name'".
- hasFilter() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
String filter condition, like "name='my-model-name'".
- hasFilter() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersionsOrBuilder
-
String filter condition, like "name='my-model-name'".
- hasFilter() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
String filter condition, like "name LIKE 'my-model-name'".
- hasFilter() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
String filter condition, like "name LIKE 'my-model-name'".
- hasFilter() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModelsOrBuilder
-
String filter condition, like "name LIKE 'my-model-name'".
- hasFilter() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
A filter expression over params, metrics, and tags, that allows returning a subset of
runs.
- hasFilter() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
A filter expression over params, metrics, and tags, that allows returning a subset of
runs.
- hasFilter() - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
A filter expression over params, metrics, and tags, that allows returning a subset of
runs.
- hashCode() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
- hashCode() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader
-
- hashCode() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
- hashCode() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
- hashCode() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
- hashCode() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel
-
- hashCode() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.CreateExperiment
-
- hashCode() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.CreateRun
-
- hashCode() - Method in class org.mlflow.api.proto.Service.CreateRun.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.DeleteExperiment
-
- hashCode() - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.DeleteRun
-
- hashCode() - Method in class org.mlflow.api.proto.Service.DeleteRun.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.DeleteTag
-
- hashCode() - Method in class org.mlflow.api.proto.Service.DeleteTag.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.Experiment
-
- hashCode() - Method in class org.mlflow.api.proto.Service.ExperimentTag
-
- hashCode() - Method in class org.mlflow.api.proto.Service.FileInfo
-
- hashCode() - Method in class org.mlflow.api.proto.Service.GetExperiment
-
- hashCode() - Method in class org.mlflow.api.proto.Service.GetExperiment.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.GetExperimentByName
-
- hashCode() - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.GetMetricHistory
-
- hashCode() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.GetRun
-
- hashCode() - Method in class org.mlflow.api.proto.Service.GetRun.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
- hashCode() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.ListExperiments
-
- hashCode() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.LogBatch
-
- hashCode() - Method in class org.mlflow.api.proto.Service.LogBatch.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.LogMetric
-
- hashCode() - Method in class org.mlflow.api.proto.Service.LogMetric.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.LogModel
-
- hashCode() - Method in class org.mlflow.api.proto.Service.LogModel.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.LogParam
-
- hashCode() - Method in class org.mlflow.api.proto.Service.LogParam.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.Metric
-
- hashCode() - Method in class org.mlflow.api.proto.Service.Param
-
- hashCode() - Method in class org.mlflow.api.proto.Service.RestoreExperiment
-
- hashCode() - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.RestoreRun
-
- hashCode() - Method in class org.mlflow.api.proto.Service.RestoreRun.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.Run
-
- hashCode() - Method in class org.mlflow.api.proto.Service.RunData
-
- hashCode() - Method in class org.mlflow.api.proto.Service.RunInfo
-
- hashCode() - Method in class org.mlflow.api.proto.Service.RunTag
-
- hashCode() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
- hashCode() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.SetExperimentTag
-
- hashCode() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.SetTag
-
- hashCode() - Method in class org.mlflow.api.proto.Service.SetTag.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.UpdateExperiment
-
- hashCode() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Response
-
- hashCode() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
- hashCode() - Method in class org.mlflow.api.proto.Service.UpdateRun.Response
-
- hasInfo() - Method in class org.mlflow.api.proto.Service.Run.Builder
-
Run metadata.
- hasInfo() - Method in class org.mlflow.api.proto.Service.Run
-
Run metadata.
- hasInfo() - Method in interface org.mlflow.api.proto.Service.RunOrBuilder
-
Run metadata.
- hasIsDir() - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
Whether the path is a directory.
- hasIsDir() - Method in class org.mlflow.api.proto.Service.FileInfo
-
Whether the path is a directory.
- hasIsDir() - Method in interface org.mlflow.api.proto.Service.FileInfoOrBuilder
-
Whether the path is a directory.
- hasKey() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Name of the tag.
- hasKey() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
Name of the tag.
- hasKey() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTagOrBuilder
-
Name of the tag.
- hasKey() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
Name of the tag.
- hasKey() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag
-
Name of the tag.
- hasKey() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTagOrBuilder
-
Name of the tag.
- hasKey() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
The tag key.
- hasKey() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag
-
The tag key.
- hasKey() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionTagOrBuilder
-
The tag key.
- hasKey() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
The tag key.
- hasKey() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag
-
The tag key.
- hasKey() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelTagOrBuilder
-
The tag key.
- hasKey() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Name of the tag.
- hasKey() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
Name of the tag.
- hasKey() - Method in interface org.mlflow.api.proto.ModelRegistry.SetModelVersionTagOrBuilder
-
Name of the tag.
- hasKey() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
Name of the tag.
- hasKey() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
Name of the tag.
- hasKey() - Method in interface org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTagOrBuilder
-
Name of the tag.
- hasKey() - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
Name of the tag.
- hasKey() - Method in class org.mlflow.api.proto.Service.DeleteTag
-
Name of the tag.
- hasKey() - Method in interface org.mlflow.api.proto.Service.DeleteTagOrBuilder
-
Name of the tag.
- hasKey() - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
The tag key.
- hasKey() - Method in class org.mlflow.api.proto.Service.ExperimentTag
-
The tag key.
- hasKey() - Method in interface org.mlflow.api.proto.Service.ExperimentTagOrBuilder
-
The tag key.
- hasKey() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
Name of the metric.
- hasKey() - Method in class org.mlflow.api.proto.Service.LogMetric
-
Name of the metric.
- hasKey() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
Name of the metric.
- hasKey() - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
Name of the param.
- hasKey() - Method in class org.mlflow.api.proto.Service.LogParam
-
Name of the param.
- hasKey() - Method in interface org.mlflow.api.proto.Service.LogParamOrBuilder
-
Name of the param.
- hasKey() - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
Key identifying this metric.
- hasKey() - Method in class org.mlflow.api.proto.Service.Metric
-
Key identifying this metric.
- hasKey() - Method in interface org.mlflow.api.proto.Service.MetricOrBuilder
-
Key identifying this metric.
- hasKey() - Method in class org.mlflow.api.proto.Service.Param.Builder
-
Key identifying this param.
- hasKey() - Method in class org.mlflow.api.proto.Service.Param
-
Key identifying this param.
- hasKey() - Method in interface org.mlflow.api.proto.Service.ParamOrBuilder
-
Key identifying this param.
- hasKey() - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
The tag key.
- hasKey() - Method in class org.mlflow.api.proto.Service.RunTag
-
The tag key.
- hasKey() - Method in interface org.mlflow.api.proto.Service.RunTagOrBuilder
-
The tag key.
- hasKey() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
Name of the tag.
- hasKey() - Method in class org.mlflow.api.proto.Service.SetExperimentTag
-
Name of the tag.
- hasKey() - Method in interface org.mlflow.api.proto.Service.SetExperimentTagOrBuilder
-
Name of the tag.
- hasKey() - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
Name of the tag.
- hasKey() - Method in class org.mlflow.api.proto.Service.SetTag
-
Name of the tag.
- hasKey() - Method in interface org.mlflow.api.proto.Service.SetTagOrBuilder
-
Name of the tag.
- hasLastUpdatedTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Timestamp recorded when metadata for this ``model_version`` was last updated.
- hasLastUpdatedTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Timestamp recorded when metadata for this ``model_version`` was last updated.
- hasLastUpdatedTimestamp() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Timestamp recorded when metadata for this ``model_version`` was last updated.
- hasLastUpdatedTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Timestamp recorded when metadata for this ``registered_model`` was last updated.
- hasLastUpdatedTimestamp() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Timestamp recorded when metadata for this ``registered_model`` was last updated.
- hasLastUpdatedTimestamp() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Timestamp recorded when metadata for this ``registered_model`` was last updated.
- hasLastUpdateTime() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Last update time
- hasLastUpdateTime() - Method in class org.mlflow.api.proto.Service.Experiment
-
Last update time
- hasLastUpdateTime() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Last update time
- hasLifecycleStage() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Current life cycle stage of the experiment: "active" or "deleted".
- hasLifecycleStage() - Method in class org.mlflow.api.proto.Service.Experiment
-
Current life cycle stage of the experiment: "active" or "deleted".
- hasLifecycleStage() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Current life cycle stage of the experiment: "active" or "deleted".
- hasLifecycleStage() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Current life cycle stage of the experiment : OneOf("active", "deleted")
- hasLifecycleStage() - Method in class org.mlflow.api.proto.Service.RunInfo
-
Current life cycle stage of the experiment : OneOf("active", "deleted")
- hasLifecycleStage() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
Current life cycle stage of the experiment : OneOf("active", "deleted")
- hasMaxResults() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Builder
-
Maximum number of registered models desired.
- hasMaxResults() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels
-
Maximum number of registered models desired.
- hasMaxResults() - Method in interface org.mlflow.api.proto.ModelRegistry.ListRegisteredModelsOrBuilder
-
Maximum number of registered models desired.
- hasMaxResults() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
Maximum number of models desired.
- hasMaxResults() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
Maximum number of models desired.
- hasMaxResults() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersionsOrBuilder
-
Maximum number of models desired.
- hasMaxResults() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
Maximum number of models desired.
- hasMaxResults() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
Maximum number of models desired.
- hasMaxResults() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModelsOrBuilder
-
Maximum number of models desired.
- hasMaxResults() - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
Maximum number of experiments desired.
- hasMaxResults() - Method in class org.mlflow.api.proto.Service.ListExperiments
-
Maximum number of experiments desired.
- hasMaxResults() - Method in interface org.mlflow.api.proto.Service.ListExperimentsOrBuilder
-
Maximum number of experiments desired.
- hasMaxResults() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
Maximum number of runs desired.
- hasMaxResults() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
Maximum number of runs desired.
- hasMaxResults() - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
Maximum number of runs desired.
- hasMetricKey() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
Name of the metric.
- hasMetricKey() - Method in class org.mlflow.api.proto.Service.GetMetricHistory
-
Name of the metric.
- hasMetricKey() - Method in interface org.mlflow.api.proto.Service.GetMetricHistoryOrBuilder
-
Name of the metric.
- hasModelJson() - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
MLmodel file in json format.
- hasModelJson() - Method in class org.mlflow.api.proto.Service.LogModel
-
MLmodel file in json format.
- hasModelJson() - Method in interface org.mlflow.api.proto.Service.LogModelOrBuilder
-
MLmodel file in json format.
- hasModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response.Builder
-
Return new version number generated for this model in registry.
- hasModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response
-
Return new version number generated for this model in registry.
- hasModelVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersion.ResponseOrBuilder
-
Return new version number generated for this model in registry.
- hasModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response.Builder
-
optional .mlflow.ModelVersion model_version = 1;
- hasModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response
-
optional .mlflow.ModelVersion model_version = 1;
- hasModelVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersion.ResponseOrBuilder
-
optional .mlflow.ModelVersion model_version = 1;
- hasModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response.Builder
-
Updated model version
- hasModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response
-
Updated model version
- hasModelVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.ResponseOrBuilder
-
Updated model version
- hasModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response.Builder
-
Return new version number generated for this model in registry.
- hasModelVersion() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response
-
Return new version number generated for this model in registry.
- hasModelVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.ResponseOrBuilder
-
Return new version number generated for this model in registry.
- hasName() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
The HTTP header name
- hasName() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader
-
The HTTP header name
- hasName() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeaderOrBuilder
-
The HTTP header name
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Register model under this name
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
Register model under this name
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
Register model under this name
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Register models under this name
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel
-
Register models under this name
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateRegisteredModelOrBuilder
-
Register models under this name
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
Name of the registered model
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion
-
Name of the registered model
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionOrBuilder
-
Name of the registered model
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Name of the registered model that the tag was logged under.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
Name of the registered model that the tag was logged under.
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTagOrBuilder
-
Name of the registered model that the tag was logged under.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Builder
-
Registered model unique name identifier.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel
-
Registered model unique name identifier.
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelOrBuilder
-
Registered model unique name identifier.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
Name of the registered model that the tag was logged under.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag
-
Name of the registered model that the tag was logged under.
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTagOrBuilder
-
Name of the registered model that the tag was logged under.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
Registered model unique name identifier.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
-
Registered model unique name identifier.
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.GetLatestVersionsOrBuilder
-
Registered model unique name identifier.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
Name of the registered model
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion
-
Name of the registered model
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
Name of the registered model
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri
-
Name of the registered model
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUriOrBuilder
-
Name of the registered model
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionOrBuilder
-
Name of the registered model
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Builder
-
Registered model unique name identifier.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel
-
Registered model unique name identifier.
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.GetRegisteredModelOrBuilder
-
Registered model unique name identifier.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Unique name of the model
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Unique name of the model
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Unique name of the model
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Unique name for the model.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
Unique name for the model.
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
Unique name for the model.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
Registered model unique name identifier.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel
-
Registered model unique name identifier.
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.RenameRegisteredModelOrBuilder
-
Registered model unique name identifier.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Unique name of the model.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
Unique name of the model.
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.SetModelVersionTagOrBuilder
-
Unique name of the model.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
Unique name of the model.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
Unique name of the model.
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTagOrBuilder
-
Unique name of the model.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Name of the registered model
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
Name of the registered model
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStageOrBuilder
-
Name of the registered model
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
Name of the registered model
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
Name of the registered model
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateModelVersionOrBuilder
-
Name of the registered model
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
Registered model unique name identifier.
- hasName() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel
-
Registered model unique name identifier.
- hasName() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModelOrBuilder
-
Registered model unique name identifier.
- hasName() - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
Experiment name.
- hasName() - Method in class org.mlflow.api.proto.Service.CreateExperiment
-
Experiment name.
- hasName() - Method in interface org.mlflow.api.proto.Service.CreateExperimentOrBuilder
-
Experiment name.
- hasName() - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Human readable name that identifies the experiment.
- hasName() - Method in class org.mlflow.api.proto.Service.Experiment
-
Human readable name that identifies the experiment.
- hasName() - Method in interface org.mlflow.api.proto.Service.ExperimentOrBuilder
-
Human readable name that identifies the experiment.
- hasNewName() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
If provided, updates the name for this ``registered_model``.
- hasNewName() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel
-
If provided, updates the name for this ``registered_model``.
- hasNewName() - Method in interface org.mlflow.api.proto.ModelRegistry.RenameRegisteredModelOrBuilder
-
If provided, updates the name for this ``registered_model``.
- hasNewName() - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
If provided, the experiment's name is changed to the new name.
- hasNewName() - Method in class org.mlflow.api.proto.Service.UpdateExperiment
-
If provided, the experiment's name is changed to the new name.
- hasNewName() - Method in interface org.mlflow.api.proto.Service.UpdateExperimentOrBuilder
-
If provided, the experiment's name is changed to the new name.
- hasNextPage() - Method in class org.mlflow.tracking.EmptyPage
-
- hasNextPage() - Method in interface org.mlflow.tracking.Page
-
- hasNextPage() - Method in class org.mlflow.tracking.RunsPage
-
- hasNextPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
Token used to fetch the next page of credentials for large requests that require pagination
- hasNextPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response
-
Token used to fetch the next page of credentials for large requests that require pagination
- hasNextPageToken() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.ResponseOrBuilder
-
Token used to fetch the next page of credentials for large requests that require pagination
- hasNextPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
Token used to fetch the next page of credentials for large requests that require pagination
- hasNextPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response
-
Token used to fetch the next page of credentials for large requests that require pagination
- hasNextPageToken() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.ResponseOrBuilder
-
Token used to fetch the next page of credentials for large requests that require pagination
- hasNextPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
Pagination token to request next page of models for the same query.
- hasNextPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response
-
Pagination token to request next page of models for the same query.
- hasNextPageToken() - Method in interface org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.ResponseOrBuilder
-
Pagination token to request next page of models for the same query.
- hasNextPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
Pagination token to request next page of models for the same search query.
- hasNextPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response
-
Pagination token to request next page of models for the same search query.
- hasNextPageToken() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersions.ResponseOrBuilder
-
Pagination token to request next page of models for the same search query.
- hasNextPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
Pagination token to request the next page of models.
- hasNextPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response
-
Pagination token to request the next page of models.
- hasNextPageToken() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.ResponseOrBuilder
-
Pagination token to request the next page of models.
- hasNextPageToken() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
Token that can be used to retrieve the next page of artifact results
- hasNextPageToken() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
Token that can be used to retrieve the next page of artifact results
- hasNextPageToken() - Method in interface org.mlflow.api.proto.Service.ListArtifacts.ResponseOrBuilder
-
Token that can be used to retrieve the next page of artifact results
- hasNextPageToken() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
Pagination token to request next page of experiments for the same query.
- hasNextPageToken() - Method in class org.mlflow.api.proto.Service.ListExperiments.Response
-
Pagination token to request next page of experiments for the same query.
- hasNextPageToken() - Method in interface org.mlflow.api.proto.Service.ListExperiments.ResponseOrBuilder
-
Pagination token to request next page of experiments for the same query.
- hasNextPageToken() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
optional string next_page_token = 2;
- hasNextPageToken() - Method in class org.mlflow.api.proto.Service.SearchRuns.Response
-
optional string next_page_token = 2;
- hasNextPageToken() - Method in interface org.mlflow.api.proto.Service.SearchRuns.ResponseOrBuilder
-
optional string next_page_token = 2;
- hasPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- hasPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
Token specifying the page of credentials to fetch for large requests that require pagination
- hasPageToken() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForReadOrBuilder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- hasPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- hasPageToken() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
Token specifying the page of credentials to fetch for large requests that require pagination
- hasPageToken() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWriteOrBuilder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- hasPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Builder
-
Pagination token to go to the next page based on a previous query.
- hasPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels
-
Pagination token to go to the next page based on a previous query.
- hasPageToken() - Method in interface org.mlflow.api.proto.ModelRegistry.ListRegisteredModelsOrBuilder
-
Pagination token to go to the next page based on a previous query.
- hasPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
Pagination token to go to next page based on previous search query.
- hasPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions
-
Pagination token to go to next page based on previous search query.
- hasPageToken() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchModelVersionsOrBuilder
-
Pagination token to go to next page based on previous search query.
- hasPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
Pagination token to go to the next page based on a previous search query.
- hasPageToken() - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels
-
Pagination token to go to the next page based on a previous search query.
- hasPageToken() - Method in interface org.mlflow.api.proto.ModelRegistry.SearchRegisteredModelsOrBuilder
-
Pagination token to go to the next page based on a previous search query.
- hasPageToken() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
Token indicating the page of artifact results to fetch
- hasPageToken() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
Token indicating the page of artifact results to fetch
- hasPageToken() - Method in interface org.mlflow.api.proto.Service.ListArtifactsOrBuilder
-
Token indicating the page of artifact results to fetch
- hasPageToken() - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
Pagination token to go to the next page based on a previous query.
- hasPageToken() - Method in class org.mlflow.api.proto.Service.ListExperiments
-
Pagination token to go to the next page based on a previous query.
- hasPageToken() - Method in interface org.mlflow.api.proto.Service.ListExperimentsOrBuilder
-
Pagination token to go to the next page based on a previous query.
- hasPageToken() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
optional string page_token = 7;
- hasPageToken() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
optional string page_token = 7;
- hasPageToken() - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
optional string page_token = 7;
- hasPath() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The path, relative to the Run's artifact root location, of the artifact
that can be accessed with the credential
- hasPath() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
The path, relative to the Run's artifact root location, of the artifact
that can be accessed with the credential
- hasPath() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
The path, relative to the Run's artifact root location, of the artifact
that can be accessed with the credential
- hasPath() - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
Path relative to the root artifact directory run.
- hasPath() - Method in class org.mlflow.api.proto.Service.FileInfo
-
Path relative to the root artifact directory run.
- hasPath() - Method in interface org.mlflow.api.proto.Service.FileInfoOrBuilder
-
Path relative to the root artifact directory run.
- hasPath() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
Filter artifacts matching this path (a relative path from the root artifact directory).
- hasPath() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
Filter artifacts matching this path (a relative path from the root artifact directory).
- hasPath() - Method in interface org.mlflow.api.proto.Service.ListArtifactsOrBuilder
-
Filter artifacts matching this path (a relative path from the root artifact directory).
- hasRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- hasRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response
-
optional .mlflow.RegisteredModel registered_model = 1;
- hasRegisteredModel() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.ResponseOrBuilder
-
optional .mlflow.RegisteredModel registered_model = 1;
- hasRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- hasRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response
-
optional .mlflow.RegisteredModel registered_model = 1;
- hasRegisteredModel() - Method in interface org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.ResponseOrBuilder
-
optional .mlflow.RegisteredModel registered_model = 1;
- hasRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- hasRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response
-
optional .mlflow.RegisteredModel registered_model = 1;
- hasRegisteredModel() - Method in interface org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.ResponseOrBuilder
-
optional .mlflow.RegisteredModel registered_model = 1;
- hasRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- hasRegisteredModel() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response
-
optional .mlflow.RegisteredModel registered_model = 1;
- hasRegisteredModel() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.ResponseOrBuilder
-
optional .mlflow.RegisteredModel registered_model = 1;
- hasRootUri() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
Root artifact directory for the run.
- hasRootUri() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response
-
Root artifact directory for the run.
- hasRootUri() - Method in interface org.mlflow.api.proto.Service.ListArtifacts.ResponseOrBuilder
-
Root artifact directory for the run.
- hasRun() - Method in class org.mlflow.api.proto.Service.CreateRun.Response.Builder
-
The newly created run.
- hasRun() - Method in class org.mlflow.api.proto.Service.CreateRun.Response
-
The newly created run.
- hasRun() - Method in interface org.mlflow.api.proto.Service.CreateRun.ResponseOrBuilder
-
The newly created run.
- hasRun() - Method in class org.mlflow.api.proto.Service.GetRun.Response.Builder
-
Run metadata (name, start time, etc) and data (metrics, params, and tags).
- hasRun() - Method in class org.mlflow.api.proto.Service.GetRun.Response
-
Run metadata (name, start time, etc) and data (metrics, params, and tags).
- hasRun() - Method in interface org.mlflow.api.proto.Service.GetRun.ResponseOrBuilder
-
Run metadata (name, start time, etc) and data (metrics, params, and tags).
- hasRunId() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The ID of the MLflow Run containing the artifact that can be accessed
with the credential
- hasRunId() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
The ID of the MLflow Run containing the artifact that can be accessed
with the credential
- hasRunId() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
The ID of the MLflow Run containing the artifact that can be accessed
with the credential
- hasRunId() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
The ID of the MLflow Run for which to fetch artifact read credentials
- hasRunId() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead
-
The ID of the MLflow Run for which to fetch artifact read credentials
- hasRunId() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForReadOrBuilder
-
The ID of the MLflow Run for which to fetch artifact read credentials
- hasRunId() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
The ID of the MLflow Run for which to fetch artifact write credentials
- hasRunId() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite
-
The ID of the MLflow Run for which to fetch artifact write credentials
- hasRunId() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWriteOrBuilder
-
The ID of the MLflow Run for which to fetch artifact write credentials
- hasRunId() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
MLflow run ID for correlation, if ``source`` was generated by an experiment run in
MLflow tracking server
- hasRunId() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
MLflow run ID for correlation, if ``source`` was generated by an experiment run in
MLflow tracking server
- hasRunId() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
MLflow run ID for correlation, if ``source`` was generated by an experiment run in
MLflow tracking server
- hasRunId() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
MLflow run ID used when creating ``model_version``, if ``source`` was generated by an
experiment run stored in MLflow tracking server.
- hasRunId() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
MLflow run ID used when creating ``model_version``, if ``source`` was generated by an
experiment run stored in MLflow tracking server.
- hasRunId() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
MLflow run ID used when creating ``model_version``, if ``source`` was generated by an
experiment run stored in MLflow tracking server.
- hasRunId() - Method in class org.mlflow.api.proto.Service.DeleteRun.Builder
-
ID of the run to delete.
- hasRunId() - Method in class org.mlflow.api.proto.Service.DeleteRun
-
ID of the run to delete.
- hasRunId() - Method in interface org.mlflow.api.proto.Service.DeleteRunOrBuilder
-
ID of the run to delete.
- hasRunId() - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
ID of the run that the tag was logged under.
- hasRunId() - Method in class org.mlflow.api.proto.Service.DeleteTag
-
ID of the run that the tag was logged under.
- hasRunId() - Method in interface org.mlflow.api.proto.Service.DeleteTagOrBuilder
-
ID of the run that the tag was logged under.
- hasRunId() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
ID of the run from which to fetch metric values.
- hasRunId() - Method in class org.mlflow.api.proto.Service.GetMetricHistory
-
ID of the run from which to fetch metric values.
- hasRunId() - Method in interface org.mlflow.api.proto.Service.GetMetricHistoryOrBuilder
-
ID of the run from which to fetch metric values.
- hasRunId() - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
ID of the run to fetch.
- hasRunId() - Method in class org.mlflow.api.proto.Service.GetRun
-
ID of the run to fetch.
- hasRunId() - Method in interface org.mlflow.api.proto.Service.GetRunOrBuilder
-
ID of the run to fetch.
- hasRunId() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
ID of the run whose artifacts to list.
- hasRunId() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
ID of the run whose artifacts to list.
- hasRunId() - Method in interface org.mlflow.api.proto.Service.ListArtifactsOrBuilder
-
ID of the run whose artifacts to list.
- hasRunId() - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
ID of the run to log under
- hasRunId() - Method in class org.mlflow.api.proto.Service.LogBatch
-
ID of the run to log under
- hasRunId() - Method in interface org.mlflow.api.proto.Service.LogBatchOrBuilder
-
ID of the run to log under
- hasRunId() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
ID of the run under which to log the metric.
- hasRunId() - Method in class org.mlflow.api.proto.Service.LogMetric
-
ID of the run under which to log the metric.
- hasRunId() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
ID of the run under which to log the metric.
- hasRunId() - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
ID of the run to log under
- hasRunId() - Method in class org.mlflow.api.proto.Service.LogModel
-
ID of the run to log under
- hasRunId() - Method in interface org.mlflow.api.proto.Service.LogModelOrBuilder
-
ID of the run to log under
- hasRunId() - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
ID of the run under which to log the param.
- hasRunId() - Method in class org.mlflow.api.proto.Service.LogParam
-
ID of the run under which to log the param.
- hasRunId() - Method in interface org.mlflow.api.proto.Service.LogParamOrBuilder
-
ID of the run under which to log the param.
- hasRunId() - Method in class org.mlflow.api.proto.Service.RestoreRun.Builder
-
ID of the run to restore.
- hasRunId() - Method in class org.mlflow.api.proto.Service.RestoreRun
-
ID of the run to restore.
- hasRunId() - Method in interface org.mlflow.api.proto.Service.RestoreRunOrBuilder
-
ID of the run to restore.
- hasRunId() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Unique identifier for the run.
- hasRunId() - Method in class org.mlflow.api.proto.Service.RunInfo
-
Unique identifier for the run.
- hasRunId() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
Unique identifier for the run.
- hasRunId() - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
ID of the run under which to log the tag.
- hasRunId() - Method in class org.mlflow.api.proto.Service.SetTag
-
ID of the run under which to log the tag.
- hasRunId() - Method in interface org.mlflow.api.proto.Service.SetTagOrBuilder
-
ID of the run under which to log the tag.
- hasRunId() - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
ID of the run to update.
- hasRunId() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
ID of the run to update.
- hasRunId() - Method in interface org.mlflow.api.proto.Service.UpdateRunOrBuilder
-
ID of the run to update.
- hasRunInfo() - Method in class org.mlflow.api.proto.Service.UpdateRun.Response.Builder
-
Updated metadata of the run.
- hasRunInfo() - Method in class org.mlflow.api.proto.Service.UpdateRun.Response
-
Updated metadata of the run.
- hasRunInfo() - Method in interface org.mlflow.api.proto.Service.UpdateRun.ResponseOrBuilder
-
Updated metadata of the run.
- hasRunLink() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
MLflow run link - this is the exact link of the run that generated this model version,
potentially hosted at another instance of MLflow.
- hasRunLink() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
MLflow run link - this is the exact link of the run that generated this model version,
potentially hosted at another instance of MLflow.
- hasRunLink() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
MLflow run link - this is the exact link of the run that generated this model version,
potentially hosted at another instance of MLflow.
- hasRunLink() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Run Link: Direct link to the run that generated this version
- hasRunLink() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Run Link: Direct link to the run that generated this version
- hasRunLink() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Run Link: Direct link to the run that generated this version
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
[Deprecated, use run_id instead] ID of the run from which to fetch metric values.
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.GetMetricHistory
-
[Deprecated, use run_id instead] ID of the run from which to fetch metric values.
- hasRunUuid() - Method in interface org.mlflow.api.proto.Service.GetMetricHistoryOrBuilder
-
[Deprecated, use run_id instead] ID of the run from which to fetch metric values.
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
[Deprecated, use run_id instead] ID of the run to fetch.
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.GetRun
-
[Deprecated, use run_id instead] ID of the run to fetch.
- hasRunUuid() - Method in interface org.mlflow.api.proto.Service.GetRunOrBuilder
-
[Deprecated, use run_id instead] ID of the run to fetch.
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
[Deprecated, use run_id instead] ID of the run whose artifacts to list.
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.ListArtifacts
-
[Deprecated, use run_id instead] ID of the run whose artifacts to list.
- hasRunUuid() - Method in interface org.mlflow.api.proto.Service.ListArtifactsOrBuilder
-
[Deprecated, use run_id instead] ID of the run whose artifacts to list.
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the metric.
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.LogMetric
-
[Deprecated, use run_id instead] ID of the run under which to log the metric.
- hasRunUuid() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
[Deprecated, use run_id instead] ID of the run under which to log the metric.
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the param.
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.LogParam
-
[Deprecated, use run_id instead] ID of the run under which to log the param.
- hasRunUuid() - Method in interface org.mlflow.api.proto.Service.LogParamOrBuilder
-
[Deprecated, use run_id instead] ID of the run under which to log the param.
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
[Deprecated, use run_id instead] Unique identifier for the run.
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.RunInfo
-
[Deprecated, use run_id instead] Unique identifier for the run.
- hasRunUuid() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
[Deprecated, use run_id instead] Unique identifier for the run.
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the tag.
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.SetTag
-
[Deprecated, use run_id instead] ID of the run under which to log the tag.
- hasRunUuid() - Method in interface org.mlflow.api.proto.Service.SetTagOrBuilder
-
[Deprecated, use run_id instead] ID of the run under which to log the tag.
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
[Deprecated, use run_id instead] ID of the run to update..
- hasRunUuid() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
[Deprecated, use run_id instead] ID of the run to update..
- hasRunUuid() - Method in interface org.mlflow.api.proto.Service.UpdateRunOrBuilder
-
[Deprecated, use run_id instead] ID of the run to update..
- hasRunViewType() - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
Whether to display only active, only deleted, or all runs.
- hasRunViewType() - Method in class org.mlflow.api.proto.Service.SearchRuns
-
Whether to display only active, only deleted, or all runs.
- hasRunViewType() - Method in interface org.mlflow.api.proto.Service.SearchRunsOrBuilder
-
Whether to display only active, only deleted, or all runs.
- hasSignedUri() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The signed URI credential that provides access to the artifact
- hasSignedUri() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
The signed URI credential that provides access to the artifact
- hasSignedUri() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
The signed URI credential that provides access to the artifact
- hasSource() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
URI indicating the location of the model artifacts.
- hasSource() - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
URI indicating the location of the model artifacts.
- hasSource() - Method in interface org.mlflow.api.proto.ModelRegistry.CreateModelVersionOrBuilder
-
URI indicating the location of the model artifacts.
- hasSource() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
URI indicating the location of the source model artifacts, used when creating ``model_version``
- hasSource() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
URI indicating the location of the source model artifacts, used when creating ``model_version``
- hasSource() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
URI indicating the location of the source model artifacts, used when creating ``model_version``
- hasStage() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Transition `model_version` to new stage.
- hasStage() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
Transition `model_version` to new stage.
- hasStage() - Method in interface org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStageOrBuilder
-
Transition `model_version` to new stage.
- hasStartTime() - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
Unix timestamp in milliseconds of when the run started.
- hasStartTime() - Method in class org.mlflow.api.proto.Service.CreateRun
-
Unix timestamp in milliseconds of when the run started.
- hasStartTime() - Method in interface org.mlflow.api.proto.Service.CreateRunOrBuilder
-
Unix timestamp in milliseconds of when the run started.
- hasStartTime() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Unix timestamp of when the run started in milliseconds.
- hasStartTime() - Method in class org.mlflow.api.proto.Service.RunInfo
-
Unix timestamp of when the run started in milliseconds.
- hasStartTime() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
Unix timestamp of when the run started in milliseconds.
- hasStatus() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Current status of ``model_version``
- hasStatus() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Current status of ``model_version``
- hasStatus() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Current status of ``model_version``
- hasStatus() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Current status of the run.
- hasStatus() - Method in class org.mlflow.api.proto.Service.RunInfo
-
Current status of the run.
- hasStatus() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
Current status of the run.
- hasStatus() - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
Updated status of the run.
- hasStatus() - Method in class org.mlflow.api.proto.Service.UpdateRun
-
Updated status of the run.
- hasStatus() - Method in interface org.mlflow.api.proto.Service.UpdateRunOrBuilder
-
Updated status of the run.
- hasStatusMessage() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Details on current ``status``, if it is pending or failed.
- hasStatusMessage() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Details on current ``status``, if it is pending or failed.
- hasStatusMessage() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Details on current ``status``, if it is pending or failed.
- hasStep() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
Step at which to log the metric
- hasStep() - Method in class org.mlflow.api.proto.Service.LogMetric
-
Step at which to log the metric
- hasStep() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
Step at which to log the metric
- hasStep() - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
Step at which to log the metric.
- hasStep() - Method in class org.mlflow.api.proto.Service.Metric
-
Step at which to log the metric.
- hasStep() - Method in interface org.mlflow.api.proto.Service.MetricOrBuilder
-
Step at which to log the metric.
- hasTimestamp() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
Unix timestamp in milliseconds at the time metric was logged.
- hasTimestamp() - Method in class org.mlflow.api.proto.Service.LogMetric
-
Unix timestamp in milliseconds at the time metric was logged.
- hasTimestamp() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
Unix timestamp in milliseconds at the time metric was logged.
- hasTimestamp() - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
The timestamp at which this metric was recorded.
- hasTimestamp() - Method in class org.mlflow.api.proto.Service.Metric
-
The timestamp at which this metric was recorded.
- hasTimestamp() - Method in interface org.mlflow.api.proto.Service.MetricOrBuilder
-
The timestamp at which this metric was recorded.
- hasType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The type of the signed credential URI (e.g., an AWS presigned URL
or an Azure Shared Access Signature URI)
- hasType() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
The type of the signed credential URI (e.g., an AWS presigned URL
or an Azure Shared Access Signature URI)
- hasType() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfoOrBuilder
-
The type of the signed credential URI (e.g., an AWS presigned URL
or an Azure Shared Access Signature URI)
- hasUserId() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
User that created this ``model_version``.
- hasUserId() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
User that created this ``model_version``.
- hasUserId() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
User that created this ``model_version``.
- hasUserId() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
User that created this ``registered_model``
NOTE: this field is not currently returned.
- hasUserId() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel
-
User that created this ``registered_model``
NOTE: this field is not currently returned.
- hasUserId() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelOrBuilder
-
User that created this ``registered_model``
NOTE: this field is not currently returned.
- hasUserId() - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
ID of the user executing the run.
- hasUserId() - Method in class org.mlflow.api.proto.Service.CreateRun
-
ID of the user executing the run.
- hasUserId() - Method in interface org.mlflow.api.proto.Service.CreateRunOrBuilder
-
ID of the user executing the run.
- hasUserId() - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
User who initiated the run.
- hasUserId() - Method in class org.mlflow.api.proto.Service.RunInfo
-
User who initiated the run.
- hasUserId() - Method in interface org.mlflow.api.proto.Service.RunInfoOrBuilder
-
User who initiated the run.
- hasValue() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
The HTTP header value
- hasValue() - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader
-
The HTTP header value
- hasValue() - Method in interface com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeaderOrBuilder
-
The HTTP header value
- hasValue() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
The tag value.
- hasValue() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag
-
The tag value.
- hasValue() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionTagOrBuilder
-
The tag value.
- hasValue() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
The tag value.
- hasValue() - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag
-
The tag value.
- hasValue() - Method in interface org.mlflow.api.proto.ModelRegistry.RegisteredModelTagOrBuilder
-
The tag value.
- hasValue() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
String value of the tag being logged.
- hasValue() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
String value of the tag being logged.
- hasValue() - Method in interface org.mlflow.api.proto.ModelRegistry.SetModelVersionTagOrBuilder
-
String value of the tag being logged.
- hasValue() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
String value of the tag being logged.
- hasValue() - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag
-
String value of the tag being logged.
- hasValue() - Method in interface org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTagOrBuilder
-
String value of the tag being logged.
- hasValue() - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
The tag value.
- hasValue() - Method in class org.mlflow.api.proto.Service.ExperimentTag
-
The tag value.
- hasValue() - Method in interface org.mlflow.api.proto.Service.ExperimentTagOrBuilder
-
The tag value.
- hasValue() - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
Double value of the metric being logged.
- hasValue() - Method in class org.mlflow.api.proto.Service.LogMetric
-
Double value of the metric being logged.
- hasValue() - Method in interface org.mlflow.api.proto.Service.LogMetricOrBuilder
-
Double value of the metric being logged.
- hasValue() - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
String value of the param being logged.
- hasValue() - Method in class org.mlflow.api.proto.Service.LogParam
-
String value of the param being logged.
- hasValue() - Method in interface org.mlflow.api.proto.Service.LogParamOrBuilder
-
String value of the param being logged.
- hasValue() - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
Value associated with this metric.
- hasValue() - Method in class org.mlflow.api.proto.Service.Metric
-
Value associated with this metric.
- hasValue() - Method in interface org.mlflow.api.proto.Service.MetricOrBuilder
-
Value associated with this metric.
- hasValue() - Method in class org.mlflow.api.proto.Service.Param.Builder
-
Value associated with this param.
- hasValue() - Method in class org.mlflow.api.proto.Service.Param
-
Value associated with this param.
- hasValue() - Method in interface org.mlflow.api.proto.Service.ParamOrBuilder
-
Value associated with this param.
- hasValue() - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
The tag value.
- hasValue() - Method in class org.mlflow.api.proto.Service.RunTag
-
The tag value.
- hasValue() - Method in interface org.mlflow.api.proto.Service.RunTagOrBuilder
-
The tag value.
- hasValue() - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
String value of the tag being logged.
- hasValue() - Method in class org.mlflow.api.proto.Service.SetExperimentTag
-
String value of the tag being logged.
- hasValue() - Method in interface org.mlflow.api.proto.Service.SetExperimentTagOrBuilder
-
String value of the tag being logged.
- hasValue() - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
String value of the tag being logged.
- hasValue() - Method in class org.mlflow.api.proto.Service.SetTag
-
String value of the tag being logged.
- hasValue() - Method in interface org.mlflow.api.proto.Service.SetTagOrBuilder
-
String value of the tag being logged.
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
Model version number
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion
-
Model version number
- hasVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionOrBuilder
-
Model version number
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Model version number that the tag was logged under.
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag
-
Model version number that the tag was logged under.
- hasVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTagOrBuilder
-
Model version number that the tag was logged under.
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
Model version number
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion
-
Model version number
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
Model version number
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri
-
Model version number
- hasVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUriOrBuilder
-
Model version number
- hasVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.GetModelVersionOrBuilder
-
Model version number
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Model's version number.
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
Model's version number.
- hasVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.ModelVersionOrBuilder
-
Model's version number.
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Model version number.
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag
-
Model version number.
- hasVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.SetModelVersionTagOrBuilder
-
Model version number.
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Model version number
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
-
Model version number
- hasVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStageOrBuilder
-
Model version number
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
Model version number
- hasVersion() - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion
-
Model version number
- hasVersion() - Method in interface org.mlflow.api.proto.ModelRegistry.UpdateModelVersionOrBuilder
-
Model version number
- hasViewType() - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
Qualifier for type of experiments to be returned.
- hasViewType() - Method in class org.mlflow.api.proto.Service.ListExperiments
-
Qualifier for type of experiments to be returned.
- hasViewType() - Method in interface org.mlflow.api.proto.Service.ListExperimentsOrBuilder
-
Qualifier for type of experiments to be returned.
- HEADERS_FIELD_NUMBER - Static variable in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
- HostCredsProviderChain - Class in org.mlflow.tracking.creds
-
- HostCredsProviderChain(MlflowHostCredsProvider...) - Constructor for class org.mlflow.tracking.creds.HostCredsProviderChain
-
- SCHEDULED_VALUE - Static variable in enum org.mlflow.api.proto.Service.RunStatus
-
Run is scheduled to run at a later time.
- searchRuns(List<String>, String) - Method in class org.mlflow.tracking.MlflowClient
-
- searchRuns(List<String>, String, Service.ViewType) - Method in class org.mlflow.tracking.MlflowClient
-
- searchRuns(List<String>, String, Service.ViewType, int) - Method in class org.mlflow.tracking.MlflowClient
-
Return runs from provided list of experiments that satisfy the search query.
- searchRuns(List<String>, String, Service.ViewType, int, List<String>) - Method in class org.mlflow.tracking.MlflowClient
-
Return runs from provided list of experiments that satisfy the search query.
- searchRuns(List<String>, String, Service.ViewType, int, List<String>, String) - Method in class org.mlflow.tracking.MlflowClient
-
Return runs from provided list of experiments that satisfy the search query.
- sendGet(String) - Method in class org.mlflow.tracking.MlflowClient
-
Send a GET to the following path, including query parameters.
- sendPatch(String, String) - Method in class org.mlflow.tracking.MlflowClient
-
- sendPost(String, String) - Method in class org.mlflow.tracking.MlflowClient
-
Send a POST to the following path, with a String-encoded JSON body.
- Service - Class in org.mlflow.api.proto
-
- Service.CreateExperiment - Class in org.mlflow.api.proto
-
Protobuf type mlflow.CreateExperiment
- Service.CreateExperiment.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.CreateExperiment
- Service.CreateExperiment.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.CreateExperiment.Response
- Service.CreateExperiment.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.CreateExperiment.Response
- Service.CreateExperiment.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.CreateExperimentOrBuilder - Interface in org.mlflow.api.proto
-
- Service.CreateRun - Class in org.mlflow.api.proto
-
Protobuf type mlflow.CreateRun
- Service.CreateRun.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.CreateRun
- Service.CreateRun.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.CreateRun.Response
- Service.CreateRun.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.CreateRun.Response
- Service.CreateRun.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.CreateRunOrBuilder - Interface in org.mlflow.api.proto
-
- Service.DeleteExperiment - Class in org.mlflow.api.proto
-
Protobuf type mlflow.DeleteExperiment
- Service.DeleteExperiment.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.DeleteExperiment
- Service.DeleteExperiment.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.DeleteExperiment.Response
- Service.DeleteExperiment.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.DeleteExperiment.Response
- Service.DeleteExperiment.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.DeleteExperimentOrBuilder - Interface in org.mlflow.api.proto
-
- Service.DeleteRun - Class in org.mlflow.api.proto
-
Protobuf type mlflow.DeleteRun
- Service.DeleteRun.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.DeleteRun
- Service.DeleteRun.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.DeleteRun.Response
- Service.DeleteRun.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.DeleteRun.Response
- Service.DeleteRun.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.DeleteRunOrBuilder - Interface in org.mlflow.api.proto
-
- Service.DeleteTag - Class in org.mlflow.api.proto
-
Protobuf type mlflow.DeleteTag
- Service.DeleteTag.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.DeleteTag
- Service.DeleteTag.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.DeleteTag.Response
- Service.DeleteTag.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.DeleteTag.Response
- Service.DeleteTag.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.DeleteTagOrBuilder - Interface in org.mlflow.api.proto
-
- Service.Experiment - Class in org.mlflow.api.proto
-
Experiment
- Service.Experiment.Builder - Class in org.mlflow.api.proto
-
Experiment
- Service.ExperimentOrBuilder - Interface in org.mlflow.api.proto
-
- Service.ExperimentTag - Class in org.mlflow.api.proto
-
Tag for an experiment.
- Service.ExperimentTag.Builder - Class in org.mlflow.api.proto
-
Tag for an experiment.
- Service.ExperimentTagOrBuilder - Interface in org.mlflow.api.proto
-
- Service.FileInfo - Class in org.mlflow.api.proto
-
Metadata of a single artifact file or directory.
- Service.FileInfo.Builder - Class in org.mlflow.api.proto
-
Metadata of a single artifact file or directory.
- Service.FileInfoOrBuilder - Interface in org.mlflow.api.proto
-
- Service.GetExperiment - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetExperiment
- Service.GetExperiment.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetExperiment
- Service.GetExperiment.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetExperiment.Response
- Service.GetExperiment.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetExperiment.Response
- Service.GetExperiment.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.GetExperimentByName - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetExperimentByName
- Service.GetExperimentByName.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetExperimentByName
- Service.GetExperimentByName.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetExperimentByName.Response
- Service.GetExperimentByName.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetExperimentByName.Response
- Service.GetExperimentByName.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.GetExperimentByNameOrBuilder - Interface in org.mlflow.api.proto
-
- Service.GetExperimentOrBuilder - Interface in org.mlflow.api.proto
-
- Service.GetMetricHistory - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetMetricHistory
- Service.GetMetricHistory.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetMetricHistory
- Service.GetMetricHistory.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetMetricHistory.Response
- Service.GetMetricHistory.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetMetricHistory.Response
- Service.GetMetricHistory.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.GetMetricHistoryOrBuilder - Interface in org.mlflow.api.proto
-
- Service.GetRun - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetRun
- Service.GetRun.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetRun
- Service.GetRun.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetRun.Response
- Service.GetRun.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.GetRun.Response
- Service.GetRun.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.GetRunOrBuilder - Interface in org.mlflow.api.proto
-
- Service.ListArtifacts - Class in org.mlflow.api.proto
-
Protobuf type mlflow.ListArtifacts
- Service.ListArtifacts.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.ListArtifacts
- Service.ListArtifacts.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.ListArtifacts.Response
- Service.ListArtifacts.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.ListArtifacts.Response
- Service.ListArtifacts.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.ListArtifactsOrBuilder - Interface in org.mlflow.api.proto
-
- Service.ListExperiments - Class in org.mlflow.api.proto
-
Protobuf type mlflow.ListExperiments
- Service.ListExperiments.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.ListExperiments
- Service.ListExperiments.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.ListExperiments.Response
- Service.ListExperiments.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.ListExperiments.Response
- Service.ListExperiments.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.ListExperimentsOrBuilder - Interface in org.mlflow.api.proto
-
- Service.LogBatch - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogBatch
- Service.LogBatch.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogBatch
- Service.LogBatch.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogBatch.Response
- Service.LogBatch.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogBatch.Response
- Service.LogBatch.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.LogBatchOrBuilder - Interface in org.mlflow.api.proto
-
- Service.LogMetric - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogMetric
- Service.LogMetric.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogMetric
- Service.LogMetric.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogMetric.Response
- Service.LogMetric.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogMetric.Response
- Service.LogMetric.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.LogMetricOrBuilder - Interface in org.mlflow.api.proto
-
- Service.LogModel - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogModel
- Service.LogModel.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogModel
- Service.LogModel.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogModel.Response
- Service.LogModel.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogModel.Response
- Service.LogModel.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.LogModelOrBuilder - Interface in org.mlflow.api.proto
-
- Service.LogParam - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogParam
- Service.LogParam.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogParam
- Service.LogParam.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogParam.Response
- Service.LogParam.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.LogParam.Response
- Service.LogParam.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.LogParamOrBuilder - Interface in org.mlflow.api.proto
-
- Service.Metric - Class in org.mlflow.api.proto
-
Metric associated with a run, represented as a key-value pair.
- Service.Metric.Builder - Class in org.mlflow.api.proto
-
Metric associated with a run, represented as a key-value pair.
- Service.MetricOrBuilder - Interface in org.mlflow.api.proto
-
- Service.Param - Class in org.mlflow.api.proto
-
Param associated with a run.
- Service.Param.Builder - Class in org.mlflow.api.proto
-
Param associated with a run.
- Service.ParamOrBuilder - Interface in org.mlflow.api.proto
-
- Service.RestoreExperiment - Class in org.mlflow.api.proto
-
Protobuf type mlflow.RestoreExperiment
- Service.RestoreExperiment.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.RestoreExperiment
- Service.RestoreExperiment.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.RestoreExperiment.Response
- Service.RestoreExperiment.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.RestoreExperiment.Response
- Service.RestoreExperiment.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.RestoreExperimentOrBuilder - Interface in org.mlflow.api.proto
-
- Service.RestoreRun - Class in org.mlflow.api.proto
-
Protobuf type mlflow.RestoreRun
- Service.RestoreRun.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.RestoreRun
- Service.RestoreRun.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.RestoreRun.Response
- Service.RestoreRun.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.RestoreRun.Response
- Service.RestoreRun.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.RestoreRunOrBuilder - Interface in org.mlflow.api.proto
-
- Service.Run - Class in org.mlflow.api.proto
-
A single run.
- Service.Run.Builder - Class in org.mlflow.api.proto
-
A single run.
- Service.RunData - Class in org.mlflow.api.proto
-
Run data (metrics, params, and tags).
- Service.RunData.Builder - Class in org.mlflow.api.proto
-
Run data (metrics, params, and tags).
- Service.RunDataOrBuilder - Interface in org.mlflow.api.proto
-
- Service.RunInfo - Class in org.mlflow.api.proto
-
Metadata of a single run.
- Service.RunInfo.Builder - Class in org.mlflow.api.proto
-
Metadata of a single run.
- Service.RunInfoOrBuilder - Interface in org.mlflow.api.proto
-
- Service.RunOrBuilder - Interface in org.mlflow.api.proto
-
- Service.RunStatus - Enum in org.mlflow.api.proto
-
Status of a run.
- Service.RunTag - Class in org.mlflow.api.proto
-
Tag for a run.
- Service.RunTag.Builder - Class in org.mlflow.api.proto
-
Tag for a run.
- Service.RunTagOrBuilder - Interface in org.mlflow.api.proto
-
- Service.SearchRuns - Class in org.mlflow.api.proto
-
Protobuf type mlflow.SearchRuns
- Service.SearchRuns.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.SearchRuns
- Service.SearchRuns.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.SearchRuns.Response
- Service.SearchRuns.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.SearchRuns.Response
- Service.SearchRuns.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.SearchRunsOrBuilder - Interface in org.mlflow.api.proto
-
- Service.SetExperimentTag - Class in org.mlflow.api.proto
-
Protobuf type mlflow.SetExperimentTag
- Service.SetExperimentTag.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.SetExperimentTag
- Service.SetExperimentTag.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.SetExperimentTag.Response
- Service.SetExperimentTag.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.SetExperimentTag.Response
- Service.SetExperimentTag.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.SetExperimentTagOrBuilder - Interface in org.mlflow.api.proto
-
- Service.SetTag - Class in org.mlflow.api.proto
-
Protobuf type mlflow.SetTag
- Service.SetTag.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.SetTag
- Service.SetTag.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.SetTag.Response
- Service.SetTag.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.SetTag.Response
- Service.SetTag.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.SetTagOrBuilder - Interface in org.mlflow.api.proto
-
- Service.SourceType - Enum in org.mlflow.api.proto
-
Source that generated a run.
- Service.UpdateExperiment - Class in org.mlflow.api.proto
-
Protobuf type mlflow.UpdateExperiment
- Service.UpdateExperiment.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.UpdateExperiment
- Service.UpdateExperiment.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.UpdateExperiment.Response
- Service.UpdateExperiment.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.UpdateExperiment.Response
- Service.UpdateExperiment.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.UpdateExperimentOrBuilder - Interface in org.mlflow.api.proto
-
- Service.UpdateRun - Class in org.mlflow.api.proto
-
Protobuf type mlflow.UpdateRun
- Service.UpdateRun.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.UpdateRun
- Service.UpdateRun.Response - Class in org.mlflow.api.proto
-
Protobuf type mlflow.UpdateRun.Response
- Service.UpdateRun.Response.Builder - Class in org.mlflow.api.proto
-
Protobuf type mlflow.UpdateRun.Response
- Service.UpdateRun.ResponseOrBuilder - Interface in org.mlflow.api.proto
-
- Service.UpdateRunOrBuilder - Interface in org.mlflow.api.proto
-
- Service.ViewType - Enum in org.mlflow.api.proto
-
View type for ListExperiments query.
- setArchiveExistingVersions(boolean) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
When transitioning a model version to a particular stage, this flag dictates whether all
existing model versions in that stage should be atomically moved to the "archived" stage.
- setArtifactLocation(String) - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
Location where all artifacts for the experiment are stored.
- setArtifactLocation(String) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Location where artifacts for the experiment are stored.
- setArtifactLocationBytes(ByteString) - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
Location where all artifacts for the experiment are stored.
- setArtifactLocationBytes(ByteString) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Location where artifacts for the experiment are stored.
- setArtifactUri(String) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response.Builder
-
URI corresponding to where artifacts for this model version are stored.
- setArtifactUri(String) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
URI of the directory where artifacts should be uploaded.
- setArtifactUriBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response.Builder
-
URI corresponding to where artifacts for this model version are stored.
- setArtifactUriBytes(ByteString) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
URI of the directory where artifacts should be uploaded.
- setCreationTime(long) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Creation time
- setCreationTimestamp(long) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Timestamp recorded when this ``model_version`` was created.
- setCreationTimestamp(long) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Timestamp recorded when this ``registered_model`` was created.
- setCredentialInfos(int, DatabricksArtifacts.ArtifactCredentialInfo) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
Credentials for reading from the specified artifact locations
- setCredentialInfos(int, DatabricksArtifacts.ArtifactCredentialInfo.Builder) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
Credentials for reading from the specified artifact locations
- setCredentialInfos(int, DatabricksArtifacts.ArtifactCredentialInfo) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
Credentials for writing to the specified artifact locations
- setCredentialInfos(int, DatabricksArtifacts.ArtifactCredentialInfo.Builder) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
Credentials for writing to the specified artifact locations
- setCurrentStage(String) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Current stage for this ``model_version``.
- setCurrentStageBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Current stage for this ``model_version``.
- setData(Service.RunData) - Method in class org.mlflow.api.proto.Service.Run.Builder
-
Run data.
- setData(Service.RunData.Builder) - Method in class org.mlflow.api.proto.Service.Run.Builder
-
Run data.
- setDescription(String) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Optional description for model version.
- setDescription(String) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Optional description for registered model.
- setDescription(String) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Description of this ``model_version``.
- setDescription(String) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Description of this ``registered_model``.
- setDescription(String) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
If provided, updates the description for this ``registered_model``.
- setDescription(String) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
If provided, updates the description for this ``registered_model``.
- setDescriptionBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Optional description for model version.
- setDescriptionBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Optional description for registered model.
- setDescriptionBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Description of this ``model_version``.
- setDescriptionBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Description of this ``registered_model``.
- setDescriptionBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
If provided, updates the description for this ``registered_model``.
- setDescriptionBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
If provided, updates the description for this ``registered_model``.
- setEndTime(long) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Unix timestamp of when the run ended in milliseconds.
- setEndTime(long) - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
Unix timestamp in milliseconds of when the run ended.
- setExperiment(Service.Experiment) - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Experiment details.
- setExperiment(Service.Experiment.Builder) - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Experiment details.
- setExperiment(Service.Experiment) - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response.Builder
-
Experiment details.
- setExperiment(Service.Experiment.Builder) - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response.Builder
-
Experiment details.
- setExperimentId(String) - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response.Builder
-
Unique identifier for the experiment.
- setExperimentId(String) - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
ID of the associated experiment.
- setExperimentId(String) - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Builder
-
ID of the associated experiment.
- setExperimentId(String) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Unique identifier for the experiment.
- setExperimentId(String) - Method in class org.mlflow.api.proto.Service.GetExperiment.Builder
-
ID of the associated experiment.
- setExperimentId(String) - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Builder
-
ID of the associated experiment.
- setExperimentId(String) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
The experiment ID.
- setExperimentId(String) - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
ID of the experiment under which to log the tag.
- setExperimentId(String) - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
ID of the associated experiment.
- setExperimentId(String) - Method in class org.mlflow.tracking.MlflowContext
-
Sets the experiment to log runs to by ID.
- setExperimentIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response.Builder
-
Unique identifier for the experiment.
- setExperimentIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
ID of the associated experiment.
- setExperimentIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Builder
-
ID of the associated experiment.
- setExperimentIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Unique identifier for the experiment.
- setExperimentIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.GetExperiment.Builder
-
ID of the associated experiment.
- setExperimentIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Builder
-
ID of the associated experiment.
- setExperimentIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
The experiment ID.
- setExperimentIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
ID of the experiment under which to log the tag.
- setExperimentIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
ID of the associated experiment.
- setExperimentIds(int, String) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
List of experiment IDs to search over.
- setExperimentName(String) - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Builder
-
Name of the associated experiment.
- setExperimentName(String) - Method in class org.mlflow.tracking.MlflowContext
-
Sets the experiment to log runs to by name.
- setExperimentNameBytes(ByteString) - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Builder
-
Name of the associated experiment.
- setExperiments(int, Service.Experiment) - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
All experiments.
- setExperiments(int, Service.Experiment.Builder) - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
All experiments.
- setExperimentTag(String, String, String) - Method in class org.mlflow.tracking.MlflowClient
-
Log a new tag against the given experiment as a key-value pair.
- setField(Descriptors.FieldDescriptor, Object) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.CreateRun.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.DeleteRun.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.DeleteRun.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.DeleteTag.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.GetExperiment.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.GetRun.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.LogBatch.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.LogMetric.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.LogModel.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.LogParam.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.Param.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.RestoreRun.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.RestoreRun.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.Run.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.SetTag.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Response.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.mlflow.api.proto.Service.UpdateRun.Response.Builder
-
- setFiles(int, Service.FileInfo) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
File location and metadata for artifacts.
- setFiles(int, Service.FileInfo.Builder) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
File location and metadata for artifacts.
- setFileSize(long) - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
Size in bytes.
- setFilter(String) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
String filter condition, like "name='my-model-name'".
- setFilter(String) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
String filter condition, like "name LIKE 'my-model-name'".
- setFilter(String) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
A filter expression over params, metrics, and tags, that allows returning a subset of
runs.
- setFilterBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
String filter condition, like "name='my-model-name'".
- setFilterBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
String filter condition, like "name LIKE 'my-model-name'".
- setFilterBytes(ByteString) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
A filter expression over params, metrics, and tags, that allows returning a subset of
runs.
- setHeaders(int, DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- setHeaders(int, DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
- setInfo(Service.RunInfo) - Method in class org.mlflow.api.proto.Service.Run.Builder
-
Run metadata.
- setInfo(Service.RunInfo.Builder) - Method in class org.mlflow.api.proto.Service.Run.Builder
-
Run metadata.
- setIsDir(boolean) - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
Whether the path is a directory.
- setKey(String) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Name of the tag.
- setKey(String) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
Name of the tag.
- setKey(String) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
The tag key.
- setKey(String) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
The tag key.
- setKey(String) - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Name of the tag.
- setKey(String) - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
Name of the tag.
- setKey(String) - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
Name of the tag.
- setKey(String) - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
The tag key.
- setKey(String) - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
Name of the metric.
- setKey(String) - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
Name of the param.
- setKey(String) - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
Key identifying this metric.
- setKey(String) - Method in class org.mlflow.api.proto.Service.Param.Builder
-
Key identifying this param.
- setKey(String) - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
The tag key.
- setKey(String) - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
Name of the tag.
- setKey(String) - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
Name of the tag.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Name of the tag.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
Name of the tag.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
The tag key.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
The tag key.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Name of the tag.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
Name of the tag.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
Name of the tag.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
The tag key.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
Name of the metric.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
Name of the param.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
Key identifying this metric.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.Service.Param.Builder
-
Key identifying this param.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
The tag key.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
Name of the tag.
- setKeyBytes(ByteString) - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
Name of the tag.
- setLastUpdatedTimestamp(long) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Timestamp recorded when metadata for this ``model_version`` was last updated.
- setLastUpdatedTimestamp(long) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Timestamp recorded when metadata for this ``registered_model`` was last updated.
- setLastUpdateTime(long) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Last update time
- setLatestVersions(int, ModelRegistry.ModelVersion) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Collection of latest model versions for each stage.
- setLatestVersions(int, ModelRegistry.ModelVersion.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Collection of latest model versions for each stage.
- setLifecycleStage(String) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Current life cycle stage of the experiment: "active" or "deleted".
- setLifecycleStage(String) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Current life cycle stage of the experiment : OneOf("active", "deleted")
- setLifecycleStageBytes(ByteString) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Current life cycle stage of the experiment: "active" or "deleted".
- setLifecycleStageBytes(ByteString) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Current life cycle stage of the experiment : OneOf("active", "deleted")
- setMaxResults(long) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Builder
-
Maximum number of registered models desired.
- setMaxResults(long) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
Maximum number of models desired.
- setMaxResults(long) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
Maximum number of models desired.
- setMaxResults(long) - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
Maximum number of experiments desired.
- setMaxResults(int) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
Maximum number of runs desired.
- setMetricKey(String) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
Name of the metric.
- setMetricKeyBytes(ByteString) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
Name of the metric.
- setMetrics(int, Service.Metric) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
All logged values for this metric.
- setMetrics(int, Service.Metric.Builder) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
All logged values for this metric.
- setMetrics(int, Service.Metric) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Metrics to log.
- setMetrics(int, Service.Metric.Builder) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Metrics to log.
- setMetrics(int, Service.Metric) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run metrics.
- setMetrics(int, Service.Metric.Builder) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run metrics.
- setModelJson(String) - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
MLmodel file in json format.
- setModelJsonBytes(ByteString) - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
MLmodel file in json format.
- setModelVersion(ModelRegistry.ModelVersion) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response.Builder
-
Return new version number generated for this model in registry.
- setModelVersion(ModelRegistry.ModelVersion.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response.Builder
-
Return new version number generated for this model in registry.
- setModelVersion(ModelRegistry.ModelVersion) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response.Builder
-
optional .mlflow.ModelVersion model_version = 1;
- setModelVersion(ModelRegistry.ModelVersion.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response.Builder
-
optional .mlflow.ModelVersion model_version = 1;
- setModelVersion(ModelRegistry.ModelVersion) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response.Builder
-
Updated model version
- setModelVersion(ModelRegistry.ModelVersion.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response.Builder
-
Updated model version
- setModelVersion(ModelRegistry.ModelVersion) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response.Builder
-
Return new version number generated for this model in registry.
- setModelVersion(ModelRegistry.ModelVersion.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response.Builder
-
Return new version number generated for this model in registry.
- setModelVersions(int, ModelRegistry.ModelVersion) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
Latest version models for each requests stage.
- setModelVersions(int, ModelRegistry.ModelVersion.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
Latest version models for each requests stage.
- setModelVersions(int, ModelRegistry.ModelVersion) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
Models that match the search criteria
- setModelVersions(int, ModelRegistry.ModelVersion.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
Models that match the search criteria
- setName(String) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
The HTTP header name
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Register model under this name
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Register models under this name
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
Name of the registered model
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Name of the registered model that the tag was logged under.
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Builder
-
Registered model unique name identifier.
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
Name of the registered model that the tag was logged under.
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
Registered model unique name identifier.
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
Name of the registered model
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
Name of the registered model
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Builder
-
Registered model unique name identifier.
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Unique name of the model
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Unique name for the model.
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
Registered model unique name identifier.
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Unique name of the model.
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
Unique name of the model.
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Name of the registered model
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
Name of the registered model
- setName(String) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
Registered model unique name identifier.
- setName(String) - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
Experiment name.
- setName(String) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Human readable name that identifies the experiment.
- setNameBytes(ByteString) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
The HTTP header name
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Register model under this name
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Register models under this name
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
Name of the registered model
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Name of the registered model that the tag was logged under.
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Builder
-
Registered model unique name identifier.
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
Name of the registered model that the tag was logged under.
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
Registered model unique name identifier.
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
Name of the registered model
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
Name of the registered model
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Builder
-
Registered model unique name identifier.
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Unique name of the model
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Unique name for the model.
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
Registered model unique name identifier.
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Unique name of the model.
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
Unique name of the model.
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Name of the registered model
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
Name of the registered model
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
Registered model unique name identifier.
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
Experiment name.
- setNameBytes(ByteString) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Human readable name that identifies the experiment.
- setNewName(String) - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
If provided, updates the name for this ``registered_model``.
- setNewName(String) - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
If provided, the experiment's name is changed to the new name.
- setNewNameBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
If provided, updates the name for this ``registered_model``.
- setNewNameBytes(ByteString) - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
If provided, the experiment's name is changed to the new name.
- setNextPageToken(String) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
Token used to fetch the next page of credentials for large requests that require pagination
- setNextPageToken(String) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
Token used to fetch the next page of credentials for large requests that require pagination
- setNextPageToken(String) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
Pagination token to request next page of models for the same query.
- setNextPageToken(String) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
Pagination token to request next page of models for the same search query.
- setNextPageToken(String) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
Pagination token to request the next page of models.
- setNextPageToken(String) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
Token that can be used to retrieve the next page of artifact results
- setNextPageToken(String) - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
Pagination token to request next page of experiments for the same query.
- setNextPageToken(String) - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
optional string next_page_token = 2;
- setNextPageTokenBytes(ByteString) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
Token used to fetch the next page of credentials for large requests that require pagination
- setNextPageTokenBytes(ByteString) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
Token used to fetch the next page of credentials for large requests that require pagination
- setNextPageTokenBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
Pagination token to request next page of models for the same query.
- setNextPageTokenBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
Pagination token to request next page of models for the same search query.
- setNextPageTokenBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
Pagination token to request the next page of models.
- setNextPageTokenBytes(ByteString) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
Token that can be used to retrieve the next page of artifact results
- setNextPageTokenBytes(ByteString) - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
Pagination token to request next page of experiments for the same query.
- setNextPageTokenBytes(ByteString) - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
optional string next_page_token = 2;
- setOrderBy(int, String) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
List of columns to be ordered by including model name, version, stage with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- setOrderBy(int, String) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
List of columns for ordering search results, which can include model name and last updated
timestamp with an optional "DESC" or "ASC" annotation, where "ASC" is the default.
- setOrderBy(int, String) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
List of columns to be ordered by, including attributes, params, metrics, and tags with an
optional "DESC" or "ASC" annotation, where "ASC" is the default.
- setPageToken(String) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- setPageToken(String) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- setPageToken(String) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Builder
-
Pagination token to go to the next page based on a previous query.
- setPageToken(String) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
Pagination token to go to next page based on previous search query.
- setPageToken(String) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
Pagination token to go to the next page based on a previous search query.
- setPageToken(String) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
Token indicating the page of artifact results to fetch
- setPageToken(String) - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
Pagination token to go to the next page based on a previous query.
- setPageToken(String) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
optional string page_token = 7;
- setPageTokenBytes(ByteString) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- setPageTokenBytes(ByteString) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
Token specifying the page of credentials to fetch for large requests that require pagination
- setPageTokenBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Builder
-
Pagination token to go to the next page based on a previous query.
- setPageTokenBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
Pagination token to go to next page based on previous search query.
- setPageTokenBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
Pagination token to go to the next page based on a previous search query.
- setPageTokenBytes(ByteString) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
Token indicating the page of artifact results to fetch
- setPageTokenBytes(ByteString) - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
Pagination token to go to the next page based on a previous query.
- setPageTokenBytes(ByteString) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
optional string page_token = 7;
- setParams(int, Service.Param) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Params to log.
- setParams(int, Service.Param.Builder) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Params to log.
- setParams(int, Service.Param) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run parameters.
- setParams(int, Service.Param.Builder) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Run parameters.
- setPath(String) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The path, relative to the Run's artifact root location, of the artifact
that can be accessed with the credential
- setPath(int, String) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact read credentials.
- setPath(int, String) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
The artifact paths, relative to the Run's artifact root location, for which to
fetch artifact write credentials.
- setPath(String) - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
Path relative to the root artifact directory run.
- setPath(String) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
Filter artifacts matching this path (a relative path from the root artifact directory).
- setPathBytes(ByteString) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The path, relative to the Run's artifact root location, of the artifact
that can be accessed with the credential
- setPathBytes(ByteString) - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
Path relative to the root artifact directory run.
- setPathBytes(ByteString) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
Filter artifacts matching this path (a relative path from the root artifact directory).
- setRegisteredModel(ModelRegistry.RegisteredModel) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- setRegisteredModel(ModelRegistry.RegisteredModel.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- setRegisteredModel(ModelRegistry.RegisteredModel) - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- setRegisteredModel(ModelRegistry.RegisteredModel.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- setRegisteredModel(ModelRegistry.RegisteredModel) - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- setRegisteredModel(ModelRegistry.RegisteredModel.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- setRegisteredModel(ModelRegistry.RegisteredModel) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- setRegisteredModel(ModelRegistry.RegisteredModel.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response.Builder
-
optional .mlflow.RegisteredModel registered_model = 1;
- setRegisteredModels(int, ModelRegistry.RegisteredModel) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
repeated .mlflow.RegisteredModel registered_models = 1;
- setRegisteredModels(int, ModelRegistry.RegisteredModel.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
repeated .mlflow.RegisteredModel registered_models = 1;
- setRegisteredModels(int, ModelRegistry.RegisteredModel) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
Registered Models that match the search criteria.
- setRegisteredModels(int, ModelRegistry.RegisteredModel.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
Registered Models that match the search criteria.
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.CreateRun.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.DeleteRun.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.DeleteRun.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.DeleteTag.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.GetExperiment.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.GetRun.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.LogBatch.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.LogMetric.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.LogModel.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.LogParam.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.Param.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.RestoreRun.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.RestoreRun.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.Run.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.SetTag.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Response.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.mlflow.api.proto.Service.UpdateRun.Response.Builder
-
- setRootUri(String) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
Root artifact directory for the run.
- setRootUriBytes(ByteString) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
Root artifact directory for the run.
- setRun(Service.Run) - Method in class org.mlflow.api.proto.Service.CreateRun.Response.Builder
-
The newly created run.
- setRun(Service.Run.Builder) - Method in class org.mlflow.api.proto.Service.CreateRun.Response.Builder
-
The newly created run.
- setRun(Service.Run) - Method in class org.mlflow.api.proto.Service.GetRun.Response.Builder
-
Run metadata (name, start time, etc) and data (metrics, params, and tags).
- setRun(Service.Run.Builder) - Method in class org.mlflow.api.proto.Service.GetRun.Response.Builder
-
Run metadata (name, start time, etc) and data (metrics, params, and tags).
- setRunId(String) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The ID of the MLflow Run containing the artifact that can be accessed
with the credential
- setRunId(String) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
The ID of the MLflow Run for which to fetch artifact read credentials
- setRunId(String) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
The ID of the MLflow Run for which to fetch artifact write credentials
- setRunId(String) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
MLflow run ID for correlation, if ``source`` was generated by an experiment run in
MLflow tracking server
- setRunId(String) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
MLflow run ID used when creating ``model_version``, if ``source`` was generated by an
experiment run stored in MLflow tracking server.
- setRunId(String) - Method in class org.mlflow.api.proto.Service.DeleteRun.Builder
-
ID of the run to delete.
- setRunId(String) - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
ID of the run that the tag was logged under.
- setRunId(String) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
ID of the run from which to fetch metric values.
- setRunId(String) - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
ID of the run to fetch.
- setRunId(String) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
ID of the run whose artifacts to list.
- setRunId(String) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
ID of the run to log under
- setRunId(String) - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
ID of the run under which to log the metric.
- setRunId(String) - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
ID of the run to log under
- setRunId(String) - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
ID of the run under which to log the param.
- setRunId(String) - Method in class org.mlflow.api.proto.Service.RestoreRun.Builder
-
ID of the run to restore.
- setRunId(String) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Unique identifier for the run.
- setRunId(String) - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
ID of the run under which to log the tag.
- setRunId(String) - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
ID of the run to update.
- setRunIdBytes(ByteString) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The ID of the MLflow Run containing the artifact that can be accessed
with the credential
- setRunIdBytes(ByteString) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
The ID of the MLflow Run for which to fetch artifact read credentials
- setRunIdBytes(ByteString) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
The ID of the MLflow Run for which to fetch artifact write credentials
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
MLflow run ID for correlation, if ``source`` was generated by an experiment run in
MLflow tracking server
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
MLflow run ID used when creating ``model_version``, if ``source`` was generated by an
experiment run stored in MLflow tracking server.
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.DeleteRun.Builder
-
ID of the run to delete.
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
ID of the run that the tag was logged under.
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
ID of the run from which to fetch metric values.
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
ID of the run to fetch.
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
ID of the run whose artifacts to list.
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
ID of the run to log under
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
ID of the run under which to log the metric.
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
ID of the run to log under
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
ID of the run under which to log the param.
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.RestoreRun.Builder
-
ID of the run to restore.
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Unique identifier for the run.
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
ID of the run under which to log the tag.
- setRunIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
ID of the run to update.
- setRunInfo(Service.RunInfo) - Method in class org.mlflow.api.proto.Service.UpdateRun.Response.Builder
-
Updated metadata of the run.
- setRunInfo(Service.RunInfo.Builder) - Method in class org.mlflow.api.proto.Service.UpdateRun.Response.Builder
-
Updated metadata of the run.
- setRunLink(String) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
MLflow run link - this is the exact link of the run that generated this model version,
potentially hosted at another instance of MLflow.
- setRunLink(String) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Run Link: Direct link to the run that generated this version
- setRunLinkBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
MLflow run link - this is the exact link of the run that generated this model version,
potentially hosted at another instance of MLflow.
- setRunLinkBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Run Link: Direct link to the run that generated this version
- setRuns(int, Service.RunInfo) - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Deprecated.
- setRuns(int, Service.RunInfo.Builder) - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
Deprecated.
- setRuns(int, Service.Run) - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
Runs that match the search criteria.
- setRuns(int, Service.Run.Builder) - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
Runs that match the search criteria.
- setRunUuid(String) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
[Deprecated, use run_id instead] ID of the run from which to fetch metric values.
- setRunUuid(String) - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
[Deprecated, use run_id instead] ID of the run to fetch.
- setRunUuid(String) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
[Deprecated, use run_id instead] ID of the run whose artifacts to list.
- setRunUuid(String) - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the metric.
- setRunUuid(String) - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the param.
- setRunUuid(String) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
[Deprecated, use run_id instead] Unique identifier for the run.
- setRunUuid(String) - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the tag.
- setRunUuid(String) - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
[Deprecated, use run_id instead] ID of the run to update..
- setRunUuidBytes(ByteString) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
[Deprecated, use run_id instead] ID of the run from which to fetch metric values.
- setRunUuidBytes(ByteString) - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
[Deprecated, use run_id instead] ID of the run to fetch.
- setRunUuidBytes(ByteString) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
[Deprecated, use run_id instead] ID of the run whose artifacts to list.
- setRunUuidBytes(ByteString) - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the metric.
- setRunUuidBytes(ByteString) - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the param.
- setRunUuidBytes(ByteString) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
[Deprecated, use run_id instead] Unique identifier for the run.
- setRunUuidBytes(ByteString) - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
[Deprecated, use run_id instead] ID of the run under which to log the tag.
- setRunUuidBytes(ByteString) - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
[Deprecated, use run_id instead] ID of the run to update..
- setRunViewType(Service.ViewType) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
Whether to display only active, only deleted, or all runs.
- setSignedUri(String) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The signed URI credential that provides access to the artifact
- setSignedUriBytes(ByteString) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The signed URI credential that provides access to the artifact
- setSource(String) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
URI indicating the location of the model artifacts.
- setSource(String) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
URI indicating the location of the source model artifacts, used when creating ``model_version``
- setSourceBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
URI indicating the location of the model artifacts.
- setSourceBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
URI indicating the location of the source model artifacts, used when creating ``model_version``
- setStage(String) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Transition `model_version` to new stage.
- setStageBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Transition `model_version` to new stage.
- setStages(int, String) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
List of stages.
- setStartTime(long) - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
Unix timestamp in milliseconds of when the run started.
- setStartTime(long) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Unix timestamp of when the run started in milliseconds.
- setStatus(ModelRegistry.ModelVersionStatus) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Current status of ``model_version``
- setStatus(Service.RunStatus) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
Current status of the run.
- setStatus(Service.RunStatus) - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
Updated status of the run.
- setStatusMessage(String) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Details on current ``status``, if it is pending or failed.
- setStatusMessageBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Details on current ``status``, if it is pending or failed.
- setStep(long) - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
Step at which to log the metric
- setStep(long) - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
Step at which to log the metric.
- setTag(String, String) - Method in class org.mlflow.tracking.ActiveRun
-
Sets a tag under this run.
- setTag(String, String, String) - Method in class org.mlflow.tracking.MlflowClient
-
Log a new tag against the given run, as a key-value pair.
- setTags(int, ModelRegistry.ModelVersionTag) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Additional metadata for model version.
- setTags(int, ModelRegistry.ModelVersionTag.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
Additional metadata for model version.
- setTags(int, ModelRegistry.RegisteredModelTag) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Additional metadata for registered model.
- setTags(int, ModelRegistry.RegisteredModelTag.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
Additional metadata for registered model.
- setTags(int, ModelRegistry.ModelVersionTag) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- setTags(int, ModelRegistry.ModelVersionTag.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Tags: Additional metadata key-value pairs for this ``model_version``.
- setTags(int, ModelRegistry.RegisteredModelTag) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- setTags(int, ModelRegistry.RegisteredModelTag.Builder) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
Tags: Additional metadata key-value pairs for this ``registered_model``.
- setTags(int, Service.RunTag) - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
Additional metadata for run.
- setTags(int, Service.RunTag.Builder) - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
Additional metadata for run.
- setTags(int, Service.ExperimentTag) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Tags: Additional metadata key-value pairs.
- setTags(int, Service.ExperimentTag.Builder) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
Tags: Additional metadata key-value pairs.
- setTags(int, Service.RunTag) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Tags to log.
- setTags(int, Service.RunTag.Builder) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
Tags to log.
- setTags(int, Service.RunTag) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Additional metadata key-value pairs.
- setTags(int, Service.RunTag.Builder) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
Additional metadata key-value pairs.
- setTags(Map<String, String>) - Method in class org.mlflow.tracking.ActiveRun
-
Sets multiple tags for this run.
- setTerminated(String) - Method in class org.mlflow.tracking.MlflowClient
-
Set the status of a run to be FINISHED at the current time.
- setTerminated(String, Service.RunStatus) - Method in class org.mlflow.tracking.MlflowClient
-
Set the status of a run to be completed at the current time.
- setTerminated(String, Service.RunStatus, long) - Method in class org.mlflow.tracking.MlflowClient
-
Set the status of a run to be completed at the given endTime.
- setTimestamp(long) - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
Unix timestamp in milliseconds at the time metric was logged.
- setTimestamp(long) - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
The timestamp at which this metric was recorded.
- setType(DatabricksArtifacts.ArtifactCredentialType) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
The type of the signed credential URI (e.g., an AWS presigned URL
or an Azure Shared Access Signature URI)
- setUnknownFields(UnknownFieldSet) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForRead.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.GetCredentialsForWrite.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.CreateRegisteredModel.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModel.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteRegisteredModelTag.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.GetRegisteredModel.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.ListRegisteredModels.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.RenameRegisteredModel.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.SearchModelVersions.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.SearchRegisteredModels.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateRegisteredModel.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.CreateExperiment.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.CreateExperiment.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.CreateRun.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.DeleteExperiment.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.DeleteRun.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.DeleteRun.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.DeleteTag.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.DeleteTag.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.Experiment.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.FileInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.GetExperiment.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.GetExperiment.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.GetExperimentByName.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.GetMetricHistory.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.GetRun.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.GetRun.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.ListArtifacts.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.ListExperiments.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.LogBatch.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.LogBatch.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.LogMetric.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.LogModel.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.LogModel.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.LogParam.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.Param.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.RestoreExperiment.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.RestoreRun.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.RestoreRun.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.Run.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.RunData.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.SearchRuns.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.SearchRuns.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.SetTag.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.UpdateExperiment.Response.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.UpdateRun.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.mlflow.api.proto.Service.UpdateRun.Response.Builder
-
- setUserId(String) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
User that created this ``model_version``.
- setUserId(String) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
User that created this ``registered_model``
NOTE: this field is not currently returned.
- setUserId(String) - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
ID of the user executing the run.
- setUserId(String) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
User who initiated the run.
- setUserIdBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
User that created this ``model_version``.
- setUserIdBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModel.Builder
-
User that created this ``registered_model``
NOTE: this field is not currently returned.
- setUserIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.CreateRun.Builder
-
ID of the user executing the run.
- setUserIdBytes(ByteString) - Method in class org.mlflow.api.proto.Service.RunInfo.Builder
-
User who initiated the run.
- setValue(String) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
The HTTP header value
- setValue(String) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
The tag value.
- setValue(String) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
The tag value.
- setValue(String) - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
String value of the tag being logged.
- setValue(String) - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
String value of the tag being logged.
- setValue(String) - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
The tag value.
- setValue(double) - Method in class org.mlflow.api.proto.Service.LogMetric.Builder
-
Double value of the metric being logged.
- setValue(String) - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
String value of the param being logged.
- setValue(double) - Method in class org.mlflow.api.proto.Service.Metric.Builder
-
Value associated with this metric.
- setValue(String) - Method in class org.mlflow.api.proto.Service.Param.Builder
-
Value associated with this param.
- setValue(String) - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
The tag value.
- setValue(String) - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
String value of the tag being logged.
- setValue(String) - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
String value of the tag being logged.
- setValueBytes(ByteString) - Method in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo.HttpHeader.Builder
-
The HTTP header value
- setValueBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersionTag.Builder
-
The tag value.
- setValueBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.RegisteredModelTag.Builder
-
The tag value.
- setValueBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
String value of the tag being logged.
- setValueBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.SetRegisteredModelTag.Builder
-
String value of the tag being logged.
- setValueBytes(ByteString) - Method in class org.mlflow.api.proto.Service.ExperimentTag.Builder
-
The tag value.
- setValueBytes(ByteString) - Method in class org.mlflow.api.proto.Service.LogParam.Builder
-
String value of the param being logged.
- setValueBytes(ByteString) - Method in class org.mlflow.api.proto.Service.Param.Builder
-
Value associated with this param.
- setValueBytes(ByteString) - Method in class org.mlflow.api.proto.Service.RunTag.Builder
-
The tag value.
- setValueBytes(ByteString) - Method in class org.mlflow.api.proto.Service.SetExperimentTag.Builder
-
String value of the tag being logged.
- setValueBytes(ByteString) - Method in class org.mlflow.api.proto.Service.SetTag.Builder
-
String value of the tag being logged.
- setVersion(String) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
Model version number
- setVersion(String) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Model version number that the tag was logged under.
- setVersion(String) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
Model version number
- setVersion(String) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
Model version number
- setVersion(String) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Model's version number.
- setVersion(String) - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Model version number.
- setVersion(String) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Model version number
- setVersion(String) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
Model version number
- setVersionBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersion.Builder
-
Model version number
- setVersionBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.DeleteModelVersionTag.Builder
-
Model version number that the tag was logged under.
- setVersionBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersion.Builder
-
Model version number
- setVersionBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.GetModelVersionDownloadUri.Builder
-
Model version number
- setVersionBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.ModelVersion.Builder
-
Model's version number.
- setVersionBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.SetModelVersionTag.Builder
-
Model version number.
- setVersionBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage.Builder
-
Model version number
- setVersionBytes(ByteString) - Method in class org.mlflow.api.proto.ModelRegistry.UpdateModelVersion.Builder
-
Model version number
- setViewType(Service.ViewType) - Method in class org.mlflow.api.proto.Service.ListExperiments.Builder
-
Qualifier for type of experiments to be returned.
- shouldIgnoreTlsVerification() - Method in class org.mlflow.tracking.creds.BasicMlflowHostCreds
-
- shouldIgnoreTlsVerification() - Method in interface org.mlflow.tracking.creds.MlflowHostCreds
-
If true, we will not verify the server's hostname or TLS certificate.
- SIGNED_URI_FIELD_NUMBER - Static variable in class com.databricks.api.proto.mlflow.DatabricksArtifacts.ArtifactCredentialInfo
-
- SOURCE_FIELD_NUMBER - Static variable in class org.mlflow.api.proto.ModelRegistry.CreateModelVersion
-
- SOURCE_FIELD_NUMBER - Static variable in class org.mlflow.api.proto.ModelRegistry.ModelVersion
-
- SOURCE_NAME - Static variable in class org.mlflow.tracking.utils.MlflowTagConstants
-
- SOURCE_TYPE - Static variable in class org.mlflow.tracking.utils.MlflowTagConstants
-
- STAGE_FIELD_NUMBER - Static variable in class org.mlflow.api.proto.ModelRegistry.TransitionModelVersionStage
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- STAGES_FIELD_NUMBER - Static variable in class org.mlflow.api.proto.ModelRegistry.GetLatestVersions
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- START_TIME_FIELD_NUMBER - Static variable in class org.mlflow.api.proto.Service.CreateRun
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- START_TIME_FIELD_NUMBER - Static variable in class org.mlflow.api.proto.Service.RunInfo
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- startRun() - Method in class org.mlflow.tracking.MlflowContext
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Starts a MLflow run without a name.
- startRun(String) - Method in class org.mlflow.tracking.MlflowContext
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Starts a MLflow run.
- startRun(String, String) - Method in class org.mlflow.tracking.MlflowContext
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- STATUS_FIELD_NUMBER - Static variable in class org.mlflow.api.proto.ModelRegistry.ModelVersion
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- STATUS_FIELD_NUMBER - Static variable in class org.mlflow.api.proto.Service.RunInfo
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- STATUS_FIELD_NUMBER - Static variable in class org.mlflow.api.proto.Service.UpdateRun
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- STATUS_MESSAGE_FIELD_NUMBER - Static variable in class org.mlflow.api.proto.ModelRegistry.ModelVersion
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- STEP_FIELD_NUMBER - Static variable in class org.mlflow.api.proto.Service.LogMetric
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- STEP_FIELD_NUMBER - Static variable in class org.mlflow.api.proto.Service.Metric
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