Index

Symbols

--accept <accept> mlflow-sagemaker-deploy-transform-job command line option --app-name <app_name> mlflow-server command line option --archive mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-terminate-transform-job command line option --artifact <artifact> mlflow-recipes-get-artifact command line option --artifact-location <artifact_location> mlflow-experiments-create command line option --artifact-path <artifact_path> mlflow-artifacts-download command line option mlflow-artifacts-list command line option mlflow-artifacts-log-artifact command line option mlflow-artifacts-log-artifacts command line option --artifact-uri <artifact_uri> mlflow-artifacts-download command line option --artifacts-destination <URI> mlflow-server command line option --artifacts-only mlflow-server command line option --assemble-with <assemble_with> mlflow-sagemaker-deploy-transform-job command line option --async mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-terminate-transform-job command line option --backend <BACKEND> mlflow-run command line option --backend-config <FILE> mlflow-run command line option --backend-store-uri <PATH> mlflow-gc command line option mlflow-server command line option --bucket <bucket> mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-push-model command line option --build mlflow-sagemaker-build-and-push-container command line option --build-image mlflow-run command line option --compression-type <compression_type> mlflow-sagemaker-deploy-transform-job command line option --config <NAME=VALUE> mlflow-deployments-create command line option mlflow-deployments-create-endpoint command line option mlflow-deployments-delete command line option mlflow-deployments-run-local command line option mlflow-deployments-update command line option mlflow-deployments-update-endpoint command line option --config-path <config_path> mlflow-deployments-start-server command line option mlflow-gateway-start command line option --container <container> mlflow-sagemaker-build-and-push-container command line option --content-type <content_type> mlflow-models-predict command line option mlflow-sagemaker-deploy-transform-job command line option --default-artifact-root <URI> mlflow-server command line option --dev mlflow-server command line option --docker-args <NAME=VALUE> mlflow-run command line option --dst-path <dst_path> mlflow-artifacts-download command line option --enable-mlserver mlflow-models-build-docker command line option mlflow-models-generate-dockerfile command line option mlflow-models-serve command line option --endpoint <endpoint> mlflow-deployments-create command line option mlflow-deployments-create-endpoint command line option mlflow-deployments-delete command line option mlflow-deployments-delete-endpoint command line option mlflow-deployments-explain command line option mlflow-deployments-get command line option mlflow-deployments-get-endpoint command line option mlflow-deployments-list command line option mlflow-deployments-predict command line option mlflow-deployments-update command line option mlflow-deployments-update-endpoint command line option --entry-point <NAME> mlflow-run command line option --env-manager <env_manager> mlflow-models-build-docker command line option mlflow-models-generate-dockerfile command line option mlflow-models-predict command line option mlflow-models-prepare-env command line option mlflow-models-serve command line option mlflow-run command line option mlflow-sagemaker-build-and-push-container command line option --execution-role-arn <execution_role_arn> mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-push-model command line option --experiment-id <experiment_id> mlflow-experiments-csv command line option mlflow-experiments-delete command line option mlflow-experiments-rename command line option mlflow-experiments-restore command line option mlflow-run command line option mlflow-runs-list command line option --experiment-ids <experiment_ids> mlflow-gc command line option --experiment-name <experiment_name> mlflow-experiments-create command line option mlflow-run command line option --expose-prometheus <expose_prometheus> mlflow-server command line option --filename <filename> mlflow-experiments-csv command line option --flavor <flavor> mlflow-deployments-create command line option mlflow-deployments-run-local command line option mlflow-deployments-update command line option mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-push-model command line option --gunicorn-opts <gunicorn_opts> mlflow-server command line option --host <HOST> mlflow-models-serve command line option mlflow-server command line option --host <host> mlflow-deployments-start-server command line option mlflow-gateway-start command line option --image-url <image_url> mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-push-model command line option --input-data-type <input_data_type> mlflow-sagemaker-deploy-transform-job command line option --input-filter <input_filter> mlflow-sagemaker-deploy-transform-job command line option --input-path <input_path> mlflow-deployments-explain command line option mlflow-deployments-predict command line option mlflow-models-predict command line option --input-uri <input_uri> mlflow-sagemaker-deploy-transform-job command line option --install-java mlflow-models-build-docker command line option mlflow-models-generate-dockerfile command line option --install-mlflow mlflow-models-build-docker command line option mlflow-models-generate-dockerfile command line option mlflow-models-predict command line option mlflow-models-prepare-env command line option mlflow-models-serve command line option --instance-count <instance_count> mlflow-sagemaker-deploy-transform-job command line option --instance-type <instance_type> mlflow-sagemaker-deploy-transform-job command line option --job-name <job_name> mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-terminate-transform-job command line option --join-resource <join_resource> mlflow-sagemaker-deploy-transform-job command line option --local-dir <local_dir> mlflow-artifacts-log-artifacts command line option --local-file <local_file> mlflow-artifacts-log-artifact command line option --mask-envs mlflow-doctor command line option --mlflow-home <PATH> mlflow-models-build-docker command line option mlflow-models-generate-dockerfile command line option mlflow-sagemaker-build-and-push-container command line option --model-name <model_name> mlflow-sagemaker-push-model command line option --model-uri <URI> mlflow-deployments-create command line option mlflow-deployments-run-local command line option mlflow-deployments-update command line option mlflow-models-build-docker command line option mlflow-models-generate-dockerfile command line option mlflow-models-predict command line option mlflow-models-prepare-env command line option mlflow-models-serve command line option mlflow-models-update-pip-requirements command line option mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-push-model command line option --name <name> mlflow-deployments-create command line option mlflow-deployments-delete command line option mlflow-deployments-explain command line option mlflow-deployments-get command line option mlflow-deployments-predict command line option mlflow-deployments-run-local command line option mlflow-deployments-update command line option mlflow-models-build-docker command line option --new-name <new_name> mlflow-experiments-rename command line option --no-build mlflow-sagemaker-build-and-push-container command line option --no-conda mlflow-models-serve command line option --no-push mlflow-sagemaker-build-and-push-container command line option --no-serve-artifacts mlflow-server command line option --older-than <older_than> mlflow-gc command line option --output-directory <output_directory> mlflow-models-generate-dockerfile command line option --output-filter <output_filter> mlflow-sagemaker-deploy-transform-job command line option --output-path <output_path> mlflow-deployments-explain command line option mlflow-deployments-predict command line option mlflow-models-predict command line option mlflow-sagemaker-deploy-transform-job command line option --param-list <NAME=VALUE> mlflow-run command line option --pip-requirements-override <pip_requirements_override> mlflow-models-predict command line option

--port <port> mlflow-deployments-start-server command line option mlflow-gateway-start command line option mlflow-models-serve command line option mlflow-server command line option --profile <profile> mlflow-recipes-clean command line option mlflow-recipes-get-artifact command line option mlflow-recipes-inspect command line option mlflow-recipes-run command line option --push mlflow-sagemaker-build-and-push-container command line option --region-name <region_name> mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-push-model command line option mlflow-sagemaker-terminate-transform-job command line option --registry-store-uri <URI> mlflow-server command line option --run-id <RUN_ID> mlflow-run command line option --run-id <run_id> mlflow-artifacts-download command line option mlflow-artifacts-list command line option mlflow-artifacts-log-artifact command line option mlflow-artifacts-log-artifacts command line option mlflow-runs-delete command line option mlflow-runs-describe command line option mlflow-runs-restore command line option --run-ids <run_ids> mlflow-gc command line option --run-name <RUN_NAME> mlflow-run command line option --serve-artifacts mlflow-server command line option --split-type <split_type> mlflow-sagemaker-deploy-transform-job command line option --static-prefix <static_prefix> mlflow-server command line option --step <step> mlflow-recipes-clean command line option mlflow-recipes-inspect command line option mlflow-recipes-run command line option --storage-dir <storage_dir> mlflow-run command line option --target <target> mlflow-deployments-create command line option mlflow-deployments-create-endpoint command line option mlflow-deployments-delete command line option mlflow-deployments-delete-endpoint command line option mlflow-deployments-explain command line option mlflow-deployments-get command line option mlflow-deployments-get-endpoint command line option mlflow-deployments-help command line option mlflow-deployments-list command line option mlflow-deployments-list-endpoints command line option mlflow-deployments-predict command line option mlflow-deployments-run-local command line option mlflow-deployments-update command line option mlflow-deployments-update-endpoint command line option --timeout <timeout> mlflow-models-serve command line option mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-terminate-transform-job command line option --version mlflow command line option --version <VERSION> mlflow-run command line option --view <view> mlflow-experiments-search command line option mlflow-runs-list command line option --vpc-config <vpc_config> mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-push-model command line option --waitress-opts <waitress_opts> mlflow-server command line option --workers <workers> mlflow-deployments-start-server command line option mlflow-gateway-start command line option mlflow-models-serve command line option mlflow-server command line option -A mlflow-run command line option -a mlflow-artifacts-download command line option mlflow-artifacts-list command line option mlflow-artifacts-log-artifact command line option mlflow-artifacts-log-artifacts command line option mlflow-recipes-get-artifact command line option mlflow-sagemaker-deploy-transform-job command line option -b mlflow-run command line option mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-push-model command line option -C mlflow-deployments-create command line option mlflow-deployments-create-endpoint command line option mlflow-deployments-delete command line option mlflow-deployments-run-local command line option mlflow-deployments-update command line option mlflow-deployments-update-endpoint command line option -c mlflow-run command line option mlflow-sagemaker-build-and-push-container command line option mlflow-sagemaker-deploy-transform-job command line option -d mlflow-artifacts-download command line option mlflow-models-generate-dockerfile command line option -e mlflow-run command line option mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-push-model command line option -f mlflow-deployments-create command line option mlflow-deployments-run-local command line option mlflow-deployments-update command line option mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-push-model command line option -h mlflow-models-serve command line option mlflow-server command line option -I mlflow-deployments-explain command line option mlflow-deployments-predict command line option -i mlflow-models-predict command line option mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-push-model command line option -j mlflow-sagemaker-deploy-transform-job command line option -l mlflow-artifacts-log-artifact command line option mlflow-artifacts-log-artifacts command line option mlflow-experiments-create command line option -m mlflow-deployments-create command line option mlflow-deployments-run-local command line option mlflow-deployments-update command line option mlflow-models-build-docker command line option mlflow-models-generate-dockerfile command line option mlflow-models-predict command line option mlflow-models-prepare-env command line option mlflow-models-serve command line option mlflow-models-update-pip-requirements command line option mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-push-model command line option -n mlflow-experiments-create command line option mlflow-models-build-docker command line option mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-push-model command line option mlflow-sagemaker-terminate-transform-job command line option -O mlflow-deployments-explain command line option mlflow-deployments-predict command line option -o mlflow-experiments-csv command line option mlflow-models-predict command line option mlflow-sagemaker-deploy-transform-job command line option -P mlflow-run command line option -p mlflow-models-serve command line option mlflow-recipes-clean command line option mlflow-recipes-get-artifact command line option mlflow-recipes-inspect command line option mlflow-recipes-run command line option mlflow-server command line option -r mlflow-artifacts-download command line option mlflow-artifacts-list command line option mlflow-artifacts-log-artifact command line option mlflow-artifacts-log-artifacts command line option mlflow-models-predict command line option mlflow-sagemaker-terminate-transform-job command line option -s mlflow-recipes-clean command line option mlflow-recipes-inspect command line option mlflow-recipes-run command line option mlflow-sagemaker-deploy-transform-job command line option -t mlflow-deployments-create command line option mlflow-deployments-create-endpoint command line option mlflow-deployments-delete command line option mlflow-deployments-delete-endpoint command line option mlflow-deployments-explain command line option mlflow-deployments-get command line option mlflow-deployments-get-endpoint command line option mlflow-deployments-help command line option mlflow-deployments-list command line option mlflow-deployments-list-endpoints command line option mlflow-deployments-predict command line option mlflow-deployments-run-local command line option mlflow-deployments-update command line option mlflow-deployments-update-endpoint command line option mlflow-models-predict command line option mlflow-models-serve command line option mlflow-sagemaker-deploy-transform-job command line option -u mlflow-artifacts-download command line option mlflow-sagemaker-deploy-transform-job command line option -v mlflow-experiments-search command line option mlflow-run command line option mlflow-runs-list command line option mlflow-sagemaker-deploy-transform-job command line option mlflow-sagemaker-push-model command line option -w mlflow-models-serve command line option mlflow-server command line option -x mlflow-experiments-csv command line option mlflow-experiments-delete command line option mlflow-experiments-rename command line option mlflow-experiments-restore command line option

_

__new__() (mlflow.recipes.Recipe static method)

A

ACTIVE (mlflow.entities.LifecycleStage attribute) ACTIVE_ONLY (mlflow.entities.ViewType attribute) active_run() (in module mlflow) ActiveRun (class in mlflow) add_flavor() (mlflow.models.Model method) add_libraries_to_model() (in module mlflow.models) add_to_model() (in module mlflow.mleap) (in module mlflow.pyfunc) AI21LABS (mlflow.gateway.config.Provider attribute) ai21labs_api_key (mlflow.gateway.config.AI21LabsConfig attribute) AI21LabsConfig (class in mlflow.gateway.config) alias() (mlflow.entities.model_registry.RegisteredModelAlias property) AliasedConfigModel (class in mlflow.gateway.config) aliases() (mlflow.entities.model_registry.ModelVersion property) (mlflow.entities.model_registry.RegisteredModel property) ALL (mlflow.entities.ViewType attribute) all_status() (mlflow.entities.RunStatus static method) AMAZON_BEDROCK (mlflow.gateway.config.Provider attribute) AmazonBedrockConfig (class in mlflow.gateway.config) answer_correctness() (in module mlflow.metrics.genai) answer_relevance() (in module mlflow.metrics.genai) answer_similarity() (in module mlflow.metrics.genai) ANTHROPIC (mlflow.gateway.config.Provider attribute) anthropic_api_key (mlflow.gateway.config.AnthropicConfig attribute) anthropic_version (mlflow.gateway.config.AnthropicConfig attribute) AnthropicConfig (class in mlflow.gateway.config) ari_grade_level() (in module mlflow.metrics) artifact_location() (mlflow.entities.Experiment property) artifact_path() (mlflow.models.model.ModelInfo property) artifact_uri() (mlflow.entities.RunInfo property)

artifacts() (mlflow.models.EvaluationResult property) (mlflow.pyfunc.PythonModelContext property) as_spark_schema() (mlflow.types.Schema method) AuthServiceClient (class in mlflow.server.auth.client) autolog() (in module mlflow) (in module mlflow.fastai) (in module mlflow.gluon) (in module mlflow.langchain) (in module mlflow.lightgbm) (in module mlflow.paddle) (in module mlflow.pyspark.ml) (in module mlflow.pytorch) (in module mlflow.sklearn) (in module mlflow.spark) (in module mlflow.statsmodels) (in module mlflow.tensorflow) (in module mlflow.transformers) (in module mlflow.xgboost) AutologHelpers (class in mlflow.statsmodels) aws_access_key_id (mlflow.gateway.config.AWSIdAndKey attribute) aws_config (mlflow.gateway.config.AmazonBedrockConfig attribute) aws_region (mlflow.gateway.config.AWSBaseConfig attribute) aws_role_arn (mlflow.gateway.config.AWSRole attribute) aws_secret_access_key (mlflow.gateway.config.AWSIdAndKey attribute) aws_session_token (mlflow.gateway.config.AWSIdAndKey attribute) AWSBaseConfig (class in mlflow.gateway.config) AWSIdAndKey (class in mlflow.gateway.config) AWSRole (class in mlflow.gateway.config) AZURE (mlflow.gateway.config.OpenAIAPIType attribute) AZUREAD (mlflow.gateway.config.OpenAIAPIType attribute)

B

BaseDeploymentClient (class in mlflow.deployments) baseline_model_metrics() (mlflow.models.EvaluationResult property) BaseRecipe (class in mlflow.recipes.recipe) BEDROCK (mlflow.gateway.config.Provider attribute)

binary (mlflow.types.DataType attribute) boolean (mlflow.types.DataType attribute) build_docker() (in module mlflow.models) build_image() (mlflow.models.FlavorBackend method)

C

calls (mlflow.gateway.config.Limit attribute) can_build_image() (mlflow.models.FlavorBackend method) can_score_model() (mlflow.models.FlavorBackend method) cancel() (mlflow.projects.SubmittedRun method) ChatChoice (class in mlflow.types.llm) ChatMessage (class in mlflow.types.llm) ChatModel (class in mlflow.pyfunc) ChatParams (class in mlflow.types.llm) ChatRequest (class in mlflow.types.llm) ChatResponse (class in mlflow.types.llm) clean() (mlflow.recipes.recipe.BaseRecipe method) COHERE (mlflow.gateway.config.Provider attribute) cohere_api_key (mlflow.gateway.config.CohereConfig attribute) CohereConfig (class in mlflow.gateway.config) ColSpec (class in mlflow.types) CONDA (mlflow.pyfunc.EnvType attribute) config (mlflow.gateway.config.Model attribute) content() (mlflow.models.EvaluationArtifact property) copy_model_version() (mlflow.client.MlflowClient method) create_deployment() (mlflow.deployments.BaseDeploymentClient method) (mlflow.deployments.DatabricksDeploymentClient method) (mlflow.deployments.MlflowDeploymentClient method) (mlflow.deployments.OpenAIDeploymentClient method) (mlflow.sagemaker.SageMakerDeploymentClient method)

create_endpoint() (mlflow.deployments.BaseDeploymentClient method) (mlflow.deployments.DatabricksDeploymentClient method) (mlflow.deployments.MlflowDeploymentClient method) (mlflow.deployments.OpenAIDeploymentClient method) (mlflow.sagemaker.SageMakerDeploymentClient method) create_experiment() (in module mlflow) (mlflow.client.MlflowClient method) create_experiment_permission() (mlflow.server.auth.client.AuthServiceClient method) create_model_version() (mlflow.client.MlflowClient method) create_registered_model() (mlflow.client.MlflowClient method) create_registered_model_permission() (mlflow.server.auth.client.AuthServiceClient method) create_route() (in module mlflow.gateway) (mlflow.gateway.client.MlflowGatewayClient method) (mlflow.gateway.MlflowGatewayClient method) create_run() (mlflow.client.MlflowClient method) create_user() (mlflow.server.auth.client.AuthServiceClient method) creation_time() (mlflow.entities.Experiment property) creation_timestamp() (mlflow.entities.model_registry.ModelVersion property) (mlflow.entities.model_registry.RegisteredModel property) current_stage() (mlflow.entities.model_registry.ModelVersion property)

D

data() (mlflow.data.tensorflow_dataset.TensorFlowDataset property) (mlflow.entities.Run property) DATABRICKS (mlflow.gateway.config.Provider attribute) DATABRICKS_MODEL_SERVING (mlflow.gateway.config.Provider attribute) DatabricksDeploymentClient (class in mlflow.deployments) DatabricksEndpoint (class in mlflow.deployments) Dataset (class in mlflow.data.dataset) (class in mlflow.entities) dataset() (mlflow.entities.DatasetInput property) dataset_inputs() (mlflow.entities.RunInputs property) DatasetInput (class in mlflow.entities) DatasetSource (class in mlflow.data.dataset_source) DataType (class in mlflow.types) datetime (mlflow.types.DataType attribute) default() (mlflow.types.ParamSpec property) DEFAULT_EXPERIMENT_NAME (mlflow.entities.Experiment attribute) delete_deployment() (mlflow.deployments.BaseDeploymentClient method) (mlflow.deployments.DatabricksDeploymentClient method) (mlflow.deployments.MlflowDeploymentClient method) (mlflow.deployments.OpenAIDeploymentClient method) (mlflow.sagemaker.SageMakerDeploymentClient method) delete_endpoint() (mlflow.deployments.BaseDeploymentClient method) (mlflow.deployments.DatabricksDeploymentClient method) (mlflow.deployments.MlflowDeploymentClient method) (mlflow.deployments.OpenAIDeploymentClient method) (mlflow.sagemaker.SageMakerDeploymentClient method) delete_experiment() (in module mlflow) (mlflow.client.MlflowClient method) delete_experiment_permission() (mlflow.server.auth.client.AuthServiceClient method) delete_model_version() (mlflow.client.MlflowClient method) delete_model_version_tag() (mlflow.client.MlflowClient method) delete_registered_model() (mlflow.client.MlflowClient method)

delete_registered_model_alias() (mlflow.client.MlflowClient method) delete_registered_model_permission() (mlflow.server.auth.client.AuthServiceClient method) delete_registered_model_tag() (mlflow.client.MlflowClient method) delete_route() (in module mlflow.gateway) (mlflow.gateway.client.MlflowGatewayClient method) (mlflow.gateway.MlflowGatewayClient method) delete_run() (in module mlflow) (mlflow.client.MlflowClient method) delete_tag() (in module mlflow) (mlflow.client.MlflowClient method) delete_user() (mlflow.server.auth.client.AuthServiceClient method) DELETED (mlflow.entities.LifecycleStage attribute) DELETED_ONLY (mlflow.entities.ViewType attribute) delta_table_id() (mlflow.data.delta_dataset_source.DeltaDatasetSource property) delta_table_name() (mlflow.data.delta_dataset_source.DeltaDatasetSource property) delta_table_version() (mlflow.data.delta_dataset_source.DeltaDatasetSource property) DeltaDatasetSource (class in mlflow.data.delta_dataset_source) deploy_transform_job() (in module mlflow.sagemaker) description() (mlflow.entities.model_registry.ModelVersion property) (mlflow.entities.model_registry.RegisteredModel property) df() (mlflow.data.pandas_dataset.PandasDataset property) (mlflow.data.spark_dataset.SparkDataset property) digest() (mlflow.data.dataset.Dataset property) (mlflow.entities.Dataset property) disable_system_metrics_logging() (in module mlflow) (in module mlflow.system_metrics) doctor() (in module mlflow) double (mlflow.types.DataType attribute) download_artifacts() (in module mlflow.artifacts) (mlflow.client.MlflowClient method) ds() (mlflow.data.huggingface_dataset.HuggingFaceDataset property) dtype() (mlflow.types.ParamSpec property)

E

enable_async_logging() (in module mlflow.config) enable_system_metrics_logging() (in module mlflow) (in module mlflow.system_metrics) end_run() (in module mlflow) end_time() (mlflow.entities.RunInfo property) enforce_param_datatype() (mlflow.types.ParamSpec class method) EnvType (class in mlflow.pyfunc) evaluate() (in module mlflow) (in module mlflow.models) EvaluationArtifact (class in mlflow.models) EvaluationDataset (class in mlflow.models.evaluation.base) EvaluationExample (class in mlflow.metrics.genai) EvaluationMetric (class in mlflow.metrics) (class in mlflow.models)

EvaluationResult (class in mlflow.models) exact_match() (in module mlflow.metrics) ExecutionException Experiment (class in mlflow.entities) experiment_id() (mlflow.entities.Experiment property) (mlflow.entities.RunInfo property) (mlflow.server.auth.entities.ExperimentPermission property) experiment_permissions() (mlflow.server.auth.entities.User property) ExperimentPermission (class in mlflow.server.auth.entities) ExperimentTag (class in mlflow.entities) explain() (mlflow.deployments.BaseDeploymentClient method) (mlflow.sagemaker.SageMakerDeploymentClient method)

F

f1_score() (in module mlflow.metrics) FAILED (mlflow.entities.RunStatus attribute) faithfulness() (in module mlflow.metrics.genai) feature_names() (mlflow.models.evaluation.base.EvaluationDataset property) features() (mlflow.data.numpy_dataset.NumpyDataset property) features_data() (mlflow.models.evaluation.base.EvaluationDataset property) file_size() (mlflow.entities.FileInfo property) FileInfo (class in mlflow.entities) FileSystemDatasetSource (class in mlflow.data.filesystem_dataset_source) FINISHED (mlflow.entities.RunStatus attribute) FlavorBackend (class in mlflow.models) flavors() (mlflow.models.model.ModelInfo property) flesch_kincaid_grade_level() (in module mlflow.metrics) float (mlflow.types.DataType attribute) flush_async_logging() (in module mlflow) from_dict() (mlflow.models.Model class method) (mlflow.models.ModelSignature class method) from_huggingface() (in module mlflow.data.huggingface_dataset) from_json() (mlflow.data.dataset_source.DatasetSource method) (mlflow.server.auth.entities.ExperimentPermission class method) (mlflow.server.auth.entities.RegisteredModelPermission class method) (mlflow.server.auth.entities.User class method) (mlflow.types.ParamSchema class method) (mlflow.types.Schema class method) from_json_dict() (mlflow.types.ColSpec class method) (mlflow.types.ParamSpec class method) (mlflow.types.TensorSpec class method)

from_numpy() (in module mlflow.data) from_pandas() (in module mlflow.data) from_proto() (mlflow.entities.Dataset class method) (mlflow.entities.DatasetInput class method) (mlflow.entities.Experiment class method) (mlflow.entities.ExperimentTag class method) (mlflow.entities.FileInfo class method) (mlflow.entities.InputTag class method) (mlflow.entities.Metric class method) (mlflow.entities.model_registry.ModelVersion class method) (mlflow.entities.model_registry.ModelVersionTag class method) (mlflow.entities.model_registry.RegisteredModel class method) (mlflow.entities.model_registry.RegisteredModelAlias class method) (mlflow.entities.model_registry.RegisteredModelTag class method) (mlflow.entities.Param class method) (mlflow.entities.Run class method) (mlflow.entities.RunData class method) (mlflow.entities.RunInfo class method) (mlflow.entities.RunInputs class method) (mlflow.entities.RunTag class method) (mlflow.entities.ViewType class method) from_spark() (in module mlflow.data) from_string() (mlflow.entities.RunStatus static method) (mlflow.entities.SourceType static method) (mlflow.entities.ViewType class method) from_tensorflow() (in module mlflow.data.tensorflow_dataset)

G

gateway_uri() (mlflow.gateway.client.MlflowGatewayClient property) (mlflow.gateway.MlflowGatewayClient property) GatewayConfig (class in mlflow.gateway.config) generate_dockerfile() (mlflow.models.FlavorBackend method) generate_signature_output() (in module mlflow.transformers) get_app_client() (in module mlflow.server) get_artifact() (mlflow.recipes.recipe.BaseRecipe method) get_artifact_uri() (in module mlflow) get_combined_run_operations() (in module mlflow.utils.async_logging.run_operations) get_default_conda_env() (in module mlflow.catboost) (in module mlflow.diviner) (in module mlflow.fastai) (in module mlflow.gluon) (in module mlflow.h2o) (in module mlflow.johnsnowlabs) (in module mlflow.keras.save) (in module mlflow.langchain) (in module mlflow.lightgbm) (in module mlflow.onnx) (in module mlflow.openai) (in module mlflow.paddle) (in module mlflow.pmdarima) (in module mlflow.prophet) (in module mlflow.pyfunc) (in module mlflow.pytorch) (in module mlflow.sentence_transformers) (in module mlflow.shap) (in module mlflow.sklearn) (in module mlflow.spacy) (in module mlflow.spark) (in module mlflow.statsmodels) (in module mlflow.tensorflow) (in module mlflow.transformers) (in module mlflow.xgboost) get_default_pip_requirements() (in module mlflow.catboost) (in module mlflow.diviner) (in module mlflow.fastai) (in module mlflow.gluon) (in module mlflow.h2o) (in module mlflow.johnsnowlabs) (in module mlflow.keras.save) (in module mlflow.langchain) (in module mlflow.lightgbm) (in module mlflow.onnx) (in module mlflow.openai) (in module mlflow.paddle) (in module mlflow.pmdarima) (in module mlflow.prophet) (in module mlflow.pyfunc) (in module mlflow.pytorch) (in module mlflow.sentence_transformers) (in module mlflow.shap) (in module mlflow.sklearn) (in module mlflow.spacy) (in module mlflow.spark) (in module mlflow.statsmodels) (in module mlflow.tensorflow) (in module mlflow.transformers) (in module mlflow.xgboost)

get_deploy_client() (in module mlflow.deployments) get_deployment() (mlflow.deployments.BaseDeploymentClient method) (mlflow.deployments.DatabricksDeploymentClient method) (mlflow.deployments.MlflowDeploymentClient method) (mlflow.deployments.OpenAIDeploymentClient method) (mlflow.sagemaker.SageMakerDeploymentClient method) get_deployments_target() (in module mlflow.deployments) get_endpoint() (mlflow.deployments.BaseDeploymentClient method) (mlflow.deployments.DatabricksDeploymentClient method) (mlflow.deployments.MlflowDeploymentClient method) (mlflow.deployments.OpenAIDeploymentClient method) (mlflow.sagemaker.SageMakerDeploymentClient method) get_error_code() (in module mlflow.exceptions) get_experiment() (in module mlflow) (mlflow.client.MlflowClient method) get_experiment_by_name() (in module mlflow) (mlflow.client.MlflowClient method) get_experiment_permission() (mlflow.server.auth.client.AuthServiceClient method) get_gateway_uri() (in module mlflow.gateway) get_global_custom_objects() (in module mlflow.tensorflow) get_http_status_code() (mlflow.MlflowException method) get_input_schema() (mlflow.models.Model method) get_latest_versions() (mlflow.client.MlflowClient method) get_limits() (in module mlflow.gateway) (mlflow.gateway.client.MlflowGatewayClient method) (mlflow.gateway.MlflowGatewayClient method) get_metric_history() (mlflow.client.MlflowClient method) get_model_call_method() (mlflow.keras.load.KerasModelWrapper method) get_model_dependencies() (in module mlflow.pyfunc) get_model_info() (in module mlflow.models) (mlflow.models.Model method) get_model_version() (mlflow.client.MlflowClient method) get_model_version_by_alias() (mlflow.client.MlflowClient method) get_model_version_download_uri() (mlflow.client.MlflowClient method) get_model_version_stages() (mlflow.client.MlflowClient method) get_orderable_attributes() (mlflow.entities.RunInfo class method) get_output_schema() (mlflow.models.Model method) get_params_schema() (mlflow.models.Model method) get_parent_run() (in module mlflow) (mlflow.client.MlflowClient method) get_predictions() (mlflow.deployments.PredictionsResponse method) get_registered_model() (mlflow.client.MlflowClient method) get_registered_model_permission() (mlflow.server.auth.client.AuthServiceClient method) get_registry_uri() (in module mlflow) get_route() (in module mlflow.gateway) (mlflow.gateway.client.MlflowGatewayClient method) (mlflow.gateway.MlflowGatewayClient method) get_run() (in module mlflow) (mlflow.client.MlflowClient method) get_searchable_attributes() (mlflow.entities.RunInfo class method) get_source() (in module mlflow.data) get_status() (mlflow.projects.SubmittedRun method) get_tracking_uri() (in module mlflow) get_underlying_model_flavor() (in module mlflow.shap) get_user() (mlflow.server.auth.client.AuthServiceClient method) greater_is_better() (mlflow.models.MetricThreshold property)

H

has_input_names() (mlflow.types.Schema method) has_predictions() (mlflow.models.evaluation.base.EvaluationDataset property) has_targets() (mlflow.models.evaluation.base.EvaluationDataset property) hash() (mlflow.models.evaluation.base.EvaluationDataset property) hf_server_url (mlflow.gateway.config.HuggingFaceTextGenerationInferenceConfig attribute)

higher_is_better() (mlflow.models.MetricThreshold property) HTTPDatasetSource (class in mlflow.data.http_dataset_source) HUGGINGFACE_TEXT_GENERATION_INFERENCE (mlflow.gateway.config.Provider attribute) HuggingFaceDataset (class in mlflow.data.huggingface_dataset) HuggingFaceDatasetSource (class in mlflow.data.huggingface_dataset_source) HuggingFaceTextGenerationInferenceConfig (class in mlflow.gateway.config)

I

id() (mlflow.server.auth.entities.User property) infer_pip_requirements() (in module mlflow.models) infer_signature() (in module mlflow.models) info() (mlflow.entities.Run property) input_dict() (mlflow.types.Schema method) input_names() (mlflow.types.Schema method) input_types() (mlflow.types.Schema method) input_types_dict() (mlflow.types.Schema method) inputs() (mlflow.entities.Run property) (mlflow.types.Schema property) InputTag (class in mlflow.entities)

inspect() (mlflow.recipes.recipe.BaseRecipe method) integer (mlflow.types.DataType attribute) invalid_parameter_value() (mlflow.MlflowException class method) InvalidUrlException is_admin() (mlflow.server.auth.entities.User property) is_dir() (mlflow.entities.FileInfo property) is_gpu_available() (in module mlflow.transformers) is_tensor_spec() (mlflow.types.Schema method) is_terminated() (mlflow.entities.RunStatus static method) is_tracking_uri_set() (in module mlflow) is_valid() (mlflow.entities.LifecycleStage class method)

J

JOB (mlflow.entities.SourceType attribute)

json_schema_extra (mlflow.gateway.config.Route.Config attribute)

K

KerasModelWrapper (class in mlflow.keras.load) key (mlflow.gateway.config.Limit attribute) key() (mlflow.entities.ExperimentTag property) (mlflow.entities.InputTag property) (mlflow.entities.Metric property) (mlflow.entities.model_registry.ModelVersionTag property) (mlflow.entities.model_registry.RegisteredModelTag property) (mlflow.entities.Param property) (mlflow.entities.RunTag property)

KILLED (mlflow.entities.RunStatus attribute)

L

labels_data() (mlflow.models.evaluation.base.EvaluationDataset property) last_active_run() (in module mlflow) last_update_time() (mlflow.entities.Experiment property) last_updated_timestamp() (mlflow.entities.model_registry.ModelVersion property) (mlflow.entities.model_registry.RegisteredModel property) latency() (in module mlflow.metrics) latest_versions() (mlflow.entities.model_registry.RegisteredModel property) lifecycle_stage() (mlflow.entities.Experiment property) (mlflow.entities.RunInfo property) LifecycleStage (class in mlflow.entities) Limit (class in mlflow.gateway.config) limit (mlflow.gateway.config.Route attribute) (mlflow.gateway.config.RouteConfig attribute) limits (mlflow.gateway.config.LimitsConfig attribute) LimitsConfig (class in mlflow.gateway.config) list_artifacts() (in module mlflow.artifacts) (mlflow.client.MlflowClient method) list_deployments() (mlflow.deployments.BaseDeploymentClient method) (mlflow.deployments.DatabricksDeploymentClient method) (mlflow.deployments.MlflowDeploymentClient method) (mlflow.deployments.OpenAIDeploymentClient method) (mlflow.sagemaker.SageMakerDeploymentClient method) list_endpoints() (mlflow.deployments.BaseDeploymentClient method) (mlflow.deployments.DatabricksDeploymentClient method) (mlflow.deployments.MlflowDeploymentClient method) (mlflow.deployments.OpenAIDeploymentClient method) (mlflow.sagemaker.SageMakerDeploymentClient method) list_evaluators() (in module mlflow.models) LLM_V1_CHAT (mlflow.gateway.config.RouteType attribute) LLM_V1_COMPLETIONS (mlflow.gateway.config.RouteType attribute) LLM_V1_EMBEDDINGS (mlflow.gateway.config.RouteType attribute) load() (mlflow.data.dataset_source.DatasetSource method) (mlflow.data.delta_dataset_source.DeltaDatasetSource method) (mlflow.data.filesystem_dataset_source.FileSystemDatasetSource method) (mlflow.data.http_dataset_source.HTTPDatasetSource method) (mlflow.data.huggingface_dataset_source.HuggingFaceDatasetSource method) (mlflow.data.spark_dataset_source.SparkDatasetSource method) (mlflow.models.EvaluationResult class method) (mlflow.models.Model class method) load_checkpoint() (in module mlflow.pytorch) (in module mlflow.tensorflow) load_context() (mlflow.pyfunc.PythonModel method) load_delta() (in module mlflow.data) load_dict() (in module mlflow.artifacts) load_explainer() (in module mlflow.shap) load_image() (in module mlflow.artifacts) load_input_example() (mlflow.models.Model method) load_input_example_params() (mlflow.models.Model method) load_model() (in module mlflow.catboost) (in module mlflow.diviner) (in module mlflow.fastai) (in module mlflow.gluon) (in module mlflow.h2o) (in module mlflow.johnsnowlabs) (in module mlflow.keras.load) (in module mlflow.langchain) (in module mlflow.lightgbm) (in module mlflow.onnx) (in module mlflow.openai) (in module mlflow.paddle) (in module mlflow.pmdarima) (in module mlflow.prophet) (in module mlflow.pyfunc) (in module mlflow.pytorch) (in module mlflow.sentence_transformers) (in module mlflow.sklearn) (in module mlflow.spacy) (in module mlflow.spark) (in module mlflow.statsmodels) (in module mlflow.tensorflow) (in module mlflow.transformers) (in module mlflow.xgboost)

load_pyfunc() (in module mlflow.pyfunc) load_table() (in module mlflow) (mlflow.client.MlflowClient method) load_text() (in module mlflow.artifacts) loader_module() (mlflow.pyfunc.PyFuncModel property) LOCAL (mlflow.entities.SourceType attribute) log() (mlflow.models.Model class method) log_artifact() (in module mlflow) (mlflow.client.MlflowClient method) log_artifacts() (in module mlflow) (mlflow.client.MlflowClient method) log_batch() (mlflow.client.MlflowClient method) log_dict() (in module mlflow) (mlflow.client.MlflowClient method) log_explainer() (in module mlflow.shap) log_explanation() (in module mlflow.shap) log_figure() (in module mlflow) (mlflow.client.MlflowClient method) log_image() (in module mlflow) (mlflow.client.MlflowClient method) log_input() (in module mlflow) log_inputs() (mlflow.client.MlflowClient method) log_metric() (in module mlflow) (mlflow.client.MlflowClient method) log_metrics() (in module mlflow) log_model() (in module mlflow.catboost) (in module mlflow.diviner) (in module mlflow.fastai) (in module mlflow.gluon) (in module mlflow.h2o) (in module mlflow.johnsnowlabs) (in module mlflow.keras.save) (in module mlflow.langchain) (in module mlflow.lightgbm) (in module mlflow.mleap) (in module mlflow.onnx) (in module mlflow.openai) (in module mlflow.paddle) (in module mlflow.pmdarima) (in module mlflow.prophet) (in module mlflow.pyfunc) (in module mlflow.pytorch) (in module mlflow.sentence_transformers) (in module mlflow.sklearn) (in module mlflow.spacy) (in module mlflow.spark) (in module mlflow.statsmodels) (in module mlflow.tensorflow) (in module mlflow.transformers) (in module mlflow.xgboost) log_param() (in module mlflow) (mlflow.client.MlflowClient method) log_params() (in module mlflow) log_table() (in module mlflow) (mlflow.client.MlflowClient method) log_text() (in module mlflow) (mlflow.client.MlflowClient method) login() (in module mlflow) long (mlflow.types.DataType attribute)

M

mae() (in module mlflow.metrics) make_genai_metric() (in module mlflow.metrics.genai) make_metric() (in module mlflow.metrics) (in module mlflow.models) mape() (in module mlflow.metrics) matches_view_type() (mlflow.entities.LifecycleStage class method) max_error() (in module mlflow.metrics) metadata() (mlflow.models.Model property) (mlflow.models.model.ModelInfo property) (mlflow.pyfunc.PyFuncModel property) Metric (class in mlflow.entities) metrics() (mlflow.entities.RunData property) (mlflow.models.EvaluationResult property) MetricThreshold (class in mlflow.models) MetricValue (class in mlflow.metrics) min_absolute_change() (mlflow.models.MetricThreshold property) min_relative_change() (mlflow.models.MetricThreshold property) MissingConfigException MISTRAL (mlflow.gateway.config.Provider attribute) mistral_api_key (mlflow.gateway.config.MistralConfig attribute) MistralConfig (class in mlflow.gateway.config) MLeapSerializationException mlflow module mlflow command line option --version mlflow-artifacts-download command line option --artifact-path <artifact_path> --artifact-uri <artifact_uri> --dst-path <dst_path> --run-id <run_id> -a -d -r -u mlflow-artifacts-list command line option --artifact-path <artifact_path> --run-id <run_id> -a -r mlflow-artifacts-log-artifact command line option --artifact-path <artifact_path> --local-file <local_file> --run-id <run_id> -a -l -r mlflow-artifacts-log-artifacts command line option --artifact-path <artifact_path> --local-dir <local_dir> --run-id <run_id> -a -l -r mlflow-db-upgrade command line option URL mlflow-deployments-create command line option --config <NAME=VALUE> --endpoint <endpoint> --flavor <flavor> --model-uri <URI> --name <name> --target <target> -C -f -m -t mlflow-deployments-create-endpoint command line option --config <NAME=VALUE> --endpoint <endpoint> --target <target> -C -t mlflow-deployments-delete command line option --config <NAME=VALUE> --endpoint <endpoint> --name <name> --target <target> -C -t mlflow-deployments-delete-endpoint command line option --endpoint <endpoint> --target <target> -t mlflow-deployments-explain command line option --endpoint <endpoint> --input-path <input_path> --name <name> --output-path <output_path> --target <target> -I -O -t mlflow-deployments-get command line option --endpoint <endpoint> --name <name> --target <target> -t mlflow-deployments-get-endpoint command line option --endpoint <endpoint> --target <target> -t mlflow-deployments-help command line option --target <target> -t mlflow-deployments-list command line option --endpoint <endpoint> --target <target> -t mlflow-deployments-list-endpoints command line option --target <target> -t mlflow-deployments-predict command line option --endpoint <endpoint> --input-path <input_path> --name <name> --output-path <output_path> --target <target> -I -O -t mlflow-deployments-run-local command line option --config <NAME=VALUE> --flavor <flavor> --model-uri <URI> --name <name> --target <target> -C -f -m -t mlflow-deployments-start-server command line option --config-path <config_path> --host <host> --port <port> --workers <workers> mlflow-deployments-update command line option --config <NAME=VALUE> --endpoint <endpoint> --flavor <flavor> --model-uri <URI> --name <name> --target <target> -C -f -m -t mlflow-deployments-update-endpoint command line option --config <NAME=VALUE> --endpoint <endpoint> --target <target> -C -t mlflow-doctor command line option --mask-envs mlflow-experiments-create command line option --artifact-location <artifact_location> --experiment-name <experiment_name> -l -n mlflow-experiments-csv command line option --experiment-id <experiment_id> --filename <filename> -o -x mlflow-experiments-delete command line option --experiment-id <experiment_id> -x mlflow-experiments-rename command line option --experiment-id <experiment_id> --new-name <new_name> -x mlflow-experiments-restore command line option --experiment-id <experiment_id> -x mlflow-experiments-search command line option --view <view> -v mlflow-gateway-start command line option --config-path <config_path> --host <host> --port <port> --workers <workers> mlflow-gc command line option --backend-store-uri <PATH> --experiment-ids <experiment_ids> --older-than <older_than> --run-ids <run_ids> mlflow-models-build-docker command line option --enable-mlserver --env-manager <env_manager> --install-java --install-mlflow --mlflow-home <PATH> --model-uri <URI> --name <name> -m -n mlflow-models-generate-dockerfile command line option --enable-mlserver --env-manager <env_manager> --install-java --install-mlflow --mlflow-home <PATH> --model-uri <URI> --output-directory <output_directory> -d -m mlflow-models-predict command line option --content-type <content_type> --env-manager <env_manager> --input-path <input_path> --install-mlflow --model-uri <URI> --output-path <output_path> --pip-requirements-override <pip_requirements_override> -i -m -o -r -t mlflow-models-prepare-env command line option --env-manager <env_manager> --install-mlflow --model-uri <URI> -m mlflow-models-serve command line option --enable-mlserver --env-manager <env_manager> --host <HOST> --install-mlflow --model-uri <URI> --no-conda --port <port> --timeout <timeout> --workers <workers> -h -m -p -t -w mlflow-models-update-pip-requirements command line option --model-uri <URI> -m OPERATION REQUIREMENT_STRINGS mlflow-recipes-clean command line option --profile <profile> --step <step> -p -s mlflow-recipes-get-artifact command line option --artifact <artifact> --profile <profile> -a -p mlflow-recipes-inspect command line option --profile <profile> --step <step> -p -s mlflow-recipes-run command line option --profile <profile> --step <step> -p -s mlflow-run command line option --backend <BACKEND> --backend-config <FILE> --build-image --docker-args <NAME=VALUE> --entry-point <NAME> --env-manager <env_manager> --experiment-id <experiment_id> --experiment-name <experiment_name> --param-list <NAME=VALUE> --run-id <RUN_ID> --run-name <RUN_NAME> --storage-dir <storage_dir> --version <VERSION> -A -b -c -e -P -v URI mlflow-runs-delete command line option --run-id <run_id> mlflow-runs-describe command line option --run-id <run_id> mlflow-runs-list command line option --experiment-id <experiment_id> --view <view> -v mlflow-runs-restore command line option --run-id <run_id> mlflow-sagemaker-build-and-push-container command line option --build --container <container> --env-manager <env_manager> --mlflow-home <PATH> --no-build --no-push --push -c mlflow-sagemaker-deploy-transform-job command line option --accept <accept> --archive --assemble-with <assemble_with> --async --bucket <bucket> --compression-type <compression_type> --content-type <content_type> --execution-role-arn <execution_role_arn> --flavor <flavor> --image-url <image_url> --input-data-type <input_data_type> --input-filter <input_filter> --input-uri <input_uri> --instance-count <instance_count> --instance-type <instance_type> --job-name <job_name> --join-resource <join_resource> --model-uri <URI> --output-filter <output_filter> --output-path <output_path> --region-name <region_name> --split-type <split_type> --timeout <timeout> --vpc-config <vpc_config> -a -b -c -e -f -i -j -m -n -o -s -t -u -v mlflow-sagemaker-push-model command line option --bucket <bucket> --execution-role-arn <execution_role_arn> --flavor <flavor> --image-url <image_url> --model-name <model_name> --model-uri <URI> --region-name <region_name> --vpc-config <vpc_config> -b -e -f -i -m -n -v

mlflow-sagemaker-terminate-transform-job command line option --archive --async --job-name <job_name> --region-name <region_name> --timeout <timeout> -n -r mlflow-server command line option --app-name <app_name> --artifacts-destination <URI> --artifacts-only --backend-store-uri <PATH> --default-artifact-root <URI> --dev --expose-prometheus <expose_prometheus> --gunicorn-opts <gunicorn_opts> --host <HOST> --no-serve-artifacts --port <port> --registry-store-uri <URI> --serve-artifacts --static-prefix <static_prefix> --waitress-opts <waitress_opts> --workers <workers> -h -p -w mlflow.artifacts module mlflow.catboost module mlflow.client module mlflow.config module mlflow.deployments module mlflow.diviner module mlflow.entities module mlflow.entities.model_registry module mlflow.environment_variables module mlflow.exceptions module mlflow.exceptions.MlflowException mlflow.fastai module mlflow.gateway module mlflow.gateway.client module mlflow.gateway.config module mlflow.gluon module mlflow.h2o module mlflow.johnsnowlabs module mlflow.keras.autolog module mlflow.keras.callback module mlflow.keras.load module mlflow.keras.save module mlflow.langchain module mlflow.lightgbm module mlflow.metrics module mlflow.metrics.genai module mlflow.mleap module mlflow.models module mlflow.onnx module mlflow.openai module mlflow.paddle module mlflow.pmdarima module mlflow.projects module mlflow.prophet module mlflow.pyfunc module mlflow.pyspark.ml module mlflow.pytorch module mlflow.recipes module mlflow.sagemaker module mlflow.sentence_transformers module mlflow.server module mlflow.server.auth.entities module mlflow.shap module mlflow.sklearn module mlflow.spacy module mlflow.spark module mlflow.statsmodels module mlflow.store.entities module mlflow.system_metrics module mlflow.tensorflow module mlflow.transformers module mlflow.types module mlflow.types.llm module mlflow.types.llm._BaseDataclass module mlflow.utils.async_logging module mlflow.utils.async_logging.run_operations module mlflow.xgboost module MLFLOW_ALLOW_HTTP_REDIRECTS (in module mlflow.environment_variables) MLFLOW_ARTIFACT_UPLOAD_DOWNLOAD_TIMEOUT (in module mlflow.environment_variables) MLFLOW_AUTH_CONFIG_PATH (in module mlflow.environment_variables) MLFLOW_CONDA_CREATE_ENV_CMD (in module mlflow.environment_variables) MLFLOW_CONDA_HOME (in module mlflow.environment_variables) MLFLOW_CONFIGURE_LOGGING (in module mlflow.environment_variables) MLFLOW_DEFAULT_PREDICTION_DEVICE (in module mlflow.environment_variables) MLFLOW_DEPLOYMENT_FLAVOR_NAME (in module mlflow.environment_variables) MLFLOW_DEPLOYMENTS_CONFIG (in module mlflow.environment_variables) MLFLOW_DEPLOYMENTS_TARGET (in module mlflow.environment_variables) MLFLOW_DFS_TMP (in module mlflow.environment_variables) MLFLOW_DISABLE_ENV_CREATION (in module mlflow.environment_variables) MLFLOW_DISABLE_ENV_MANAGER_CONDA_WARNING (in module mlflow.environment_variables) MLFLOW_DOCKER_OPENJDK_VERSION (in module mlflow.environment_variables) MLFLOW_DOWNLOAD_CHUNK_TIMEOUT (in module mlflow.environment_variables) MLFLOW_ENABLE_ARTIFACTS_PROGRESS_BAR (in module mlflow.environment_variables) MLFLOW_ENABLE_ASYNC_LOGGING (in module mlflow.environment_variables) MLFLOW_ENABLE_DBFS_FUSE_ARTIFACT_REPO (in module mlflow.environment_variables) MLFLOW_ENABLE_PROXY_MULTIPART_UPLOAD (in module mlflow.environment_variables) MLFLOW_ENABLE_SYSTEM_METRICS_LOGGING (in module mlflow.environment_variables) MLFLOW_ENV_ROOT (in module mlflow.environment_variables) MLFLOW_EXPERIMENT_ID (in module mlflow.environment_variables) MLFLOW_EXPERIMENT_NAME (in module mlflow.environment_variables) MLFLOW_GATEWAY_CONFIG (in module mlflow.environment_variables) MLFLOW_GATEWAY_URI (in module mlflow.environment_variables) MLFLOW_GCS_DEFAULT_TIMEOUT (in module mlflow.environment_variables) MLFLOW_GCS_DOWNLOAD_CHUNK_SIZE (in module mlflow.environment_variables) MLFLOW_GCS_UPLOAD_CHUNK_SIZE (in module mlflow.environment_variables) MLFLOW_HTTP_REQUEST_BACKOFF_FACTOR (in module mlflow.environment_variables) MLFLOW_HTTP_REQUEST_BACKOFF_JITTER (in module mlflow.environment_variables) MLFLOW_HTTP_REQUEST_MAX_RETRIES (in module mlflow.environment_variables) MLFLOW_HTTP_REQUEST_TIMEOUT (in module mlflow.environment_variables) MLFLOW_HUGGINGFACE_DEVICE_MAP_STRATEGY (in module mlflow.environment_variables) MLFLOW_HUGGINGFACE_MODEL_MAX_SHARD_SIZE (in module mlflow.environment_variables) MLFLOW_HUGGINGFACE_USE_LOW_CPU_MEM_USAGE (in module mlflow.environment_variables) MLFLOW_INPUT_EXAMPLE_INFERENCE_TIMEOUT (in module mlflow.environment_variables) MLFLOW_KERBEROS_TICKET_CACHE (in module mlflow.environment_variables) MLFLOW_KERBEROS_USER (in module mlflow.environment_variables) MLFLOW_MODEL_SERVING (mlflow.gateway.config.Provider attribute) MLFLOW_MULTIPART_DOWNLOAD_CHUNK_SIZE (in module mlflow.environment_variables) MLFLOW_MULTIPART_UPLOAD_CHUNK_SIZE (in module mlflow.environment_variables) MLFLOW_MULTIPART_UPLOAD_MINIMUM_FILE_SIZE (in module mlflow.environment_variables) MLFLOW_OPENAI_SECRET_SCOPE (in module mlflow.environment_variables) MLFLOW_PYARROW_EXTRA_CONF (in module mlflow.environment_variables) MLFLOW_RECIPES_EXECUTION_DIRECTORY (in module mlflow.environment_variables) MLFLOW_RECIPES_EXECUTION_TARGET_STEP_NAME (in module mlflow.environment_variables) MLFLOW_RECIPES_PROFILE (in module mlflow.environment_variables) MLFLOW_REGISTRY_DIR (in module mlflow.environment_variables) MLFLOW_REGISTRY_URI (in module mlflow.environment_variables) MLFLOW_REQUIREMENTS_INFERENCE_TIMEOUT (in module mlflow.environment_variables) MLFLOW_RUN_CONTEXT (in module mlflow.environment_variables) MLFLOW_RUN_ID (in module mlflow.environment_variables) MLFLOW_S3_ENDPOINT_URL (in module mlflow.environment_variables) MLFLOW_S3_IGNORE_TLS (in module mlflow.environment_variables) MLFLOW_S3_UPLOAD_EXTRA_ARGS (in module mlflow.environment_variables) MLFLOW_SCORING_SERVER_REQUEST_TIMEOUT (in module mlflow.environment_variables) MLFLOW_SQLALCHEMYSTORE_ECHO (in module mlflow.environment_variables) MLFLOW_SQLALCHEMYSTORE_MAX_OVERFLOW (in module mlflow.environment_variables) MLFLOW_SQLALCHEMYSTORE_POOL_RECYCLE (in module mlflow.environment_variables) MLFLOW_SQLALCHEMYSTORE_POOL_SIZE (in module mlflow.environment_variables) MLFLOW_SQLALCHEMYSTORE_POOLCLASS (in module mlflow.environment_variables) MLFLOW_SYSTEM_METRICS_NODE_ID (in module mlflow.environment_variables) MLFLOW_SYSTEM_METRICS_SAMPLES_BEFORE_LOGGING (in module mlflow.environment_variables) MLFLOW_SYSTEM_METRICS_SAMPLING_INTERVAL (in module mlflow.environment_variables) MLFLOW_TRACKING_AUTH (in module mlflow.environment_variables) MLFLOW_TRACKING_AWS_SIGV4 (in module mlflow.environment_variables) MLFLOW_TRACKING_CLIENT_CERT_PATH (in module mlflow.environment_variables) MLFLOW_TRACKING_DIR (in module mlflow.environment_variables) MLFLOW_TRACKING_INSECURE_TLS (in module mlflow.environment_variables) MLFLOW_TRACKING_PASSWORD (in module mlflow.environment_variables) MLFLOW_TRACKING_SERVER_CERT_PATH (in module mlflow.environment_variables) MLFLOW_TRACKING_TOKEN (in module mlflow.environment_variables) MLFLOW_TRACKING_URI (in module mlflow.environment_variables) MLFLOW_TRACKING_USERNAME (in module mlflow.environment_variables) MLFLOW_TRUNCATE_LONG_VALUES (in module mlflow.environment_variables) mlflow_version() (mlflow.models.model.ModelInfo property) MLFLOW_WHEELED_MODEL_PIP_DOWNLOAD_OPTIONS (in module mlflow.environment_variables) MLflowCallback (class in mlflow.keras.callback) (class in mlflow.tensorflow) MlflowClient (class in mlflow.client) MlflowDeploymentClient (class in mlflow.deployments) MlflowException MlflowGatewayClient (class in mlflow.gateway) (class in mlflow.gateway.client) MlflowModelServingConfig (class in mlflow.gateway.config) Model (class in mlflow.gateway.config) (class in mlflow.models) model (mlflow.gateway.config.Route attribute) (mlflow.gateway.config.RouteConfig attribute) model_config (mlflow.gateway.config.AI21LabsConfig attribute) (mlflow.gateway.config.AliasedConfigModel attribute) (mlflow.gateway.config.AmazonBedrockConfig attribute) (mlflow.gateway.config.AnthropicConfig attribute) (mlflow.gateway.config.AWSBaseConfig attribute) (mlflow.gateway.config.AWSIdAndKey attribute) (mlflow.gateway.config.AWSRole attribute) (mlflow.gateway.config.CohereConfig attribute) (mlflow.gateway.config.GatewayConfig attribute) (mlflow.gateway.config.HuggingFaceTextGenerationInferenceConfig attribute) (mlflow.gateway.config.Limit attribute) (mlflow.gateway.config.LimitsConfig attribute) (mlflow.gateway.config.MistralConfig attribute) (mlflow.gateway.config.MlflowModelServingConfig attribute) (mlflow.gateway.config.Model attribute) (mlflow.gateway.config.ModelInfo attribute) (mlflow.gateway.config.MosaicMLConfig attribute) (mlflow.gateway.config.OpenAIConfig attribute) (mlflow.gateway.config.PaLMConfig attribute) (mlflow.gateway.config.Route attribute) (mlflow.gateway.config.RouteConfig attribute) (mlflow.gateway.config.RouteModelInfo attribute) model_config() (mlflow.pyfunc.PyFuncModel property) (mlflow.pyfunc.PythonModelContext property) model_fields (mlflow.gateway.config.AI21LabsConfig attribute) (mlflow.gateway.config.AliasedConfigModel attribute) (mlflow.gateway.config.AmazonBedrockConfig attribute) (mlflow.gateway.config.AnthropicConfig attribute) (mlflow.gateway.config.AWSBaseConfig attribute) (mlflow.gateway.config.AWSIdAndKey attribute) (mlflow.gateway.config.AWSRole attribute) (mlflow.gateway.config.CohereConfig attribute) (mlflow.gateway.config.GatewayConfig attribute) (mlflow.gateway.config.HuggingFaceTextGenerationInferenceConfig attribute) (mlflow.gateway.config.Limit attribute) (mlflow.gateway.config.LimitsConfig attribute) (mlflow.gateway.config.MistralConfig attribute) (mlflow.gateway.config.MlflowModelServingConfig attribute) (mlflow.gateway.config.Model attribute) (mlflow.gateway.config.ModelInfo attribute) (mlflow.gateway.config.MosaicMLConfig attribute) (mlflow.gateway.config.OpenAIConfig attribute) (mlflow.gateway.config.PaLMConfig attribute) (mlflow.gateway.config.Route attribute) (mlflow.gateway.config.RouteConfig attribute) (mlflow.gateway.config.RouteModelInfo attribute) model_server_url (mlflow.gateway.config.MlflowModelServingConfig attribute) model_size_bytes() (mlflow.models.Model property) model_uri() (mlflow.models.model.ModelInfo property) model_uuid() (mlflow.models.model.ModelInfo property) ModelInfo (class in mlflow.gateway.config) (class in mlflow.models.model) ModelSignature (class in mlflow.models) ModelVersion (class in mlflow.entities.model_registry) ModelVersionTag (class in mlflow.entities.model_registry) module mlflow mlflow.artifacts mlflow.catboost mlflow.client mlflow.config mlflow.deployments mlflow.diviner mlflow.entities mlflow.entities.model_registry mlflow.environment_variables mlflow.exceptions mlflow.fastai mlflow.gateway mlflow.gateway.client mlflow.gateway.config mlflow.gluon mlflow.h2o mlflow.johnsnowlabs mlflow.keras.autolog mlflow.keras.callback mlflow.keras.load mlflow.keras.save mlflow.langchain mlflow.lightgbm mlflow.metrics mlflow.metrics.genai mlflow.mleap mlflow.models mlflow.onnx mlflow.openai mlflow.paddle mlflow.pmdarima mlflow.projects mlflow.prophet mlflow.pyfunc mlflow.pyspark.ml mlflow.pytorch mlflow.recipes mlflow.sagemaker mlflow.sentence_transformers mlflow.server mlflow.server.auth.entities mlflow.shap mlflow.sklearn mlflow.spacy mlflow.spark mlflow.statsmodels mlflow.store.entities mlflow.system_metrics mlflow.tensorflow mlflow.transformers mlflow.types mlflow.types.llm mlflow.types.llm._BaseDataclass mlflow.utils.async_logging mlflow.utils.async_logging.run_operations mlflow.xgboost MOSAICML (mlflow.gateway.config.Provider attribute) mosaicml_api_base (mlflow.gateway.config.MosaicMLConfig attribute) mosaicml_api_key (mlflow.gateway.config.MosaicMLConfig attribute) MosaicMLConfig (class in mlflow.gateway.config) mse() (in module mlflow.metrics)

N

name (mlflow.gateway.config.Model attribute) (mlflow.gateway.config.ModelInfo attribute) (mlflow.gateway.config.Route attribute) (mlflow.gateway.config.RouteConfig attribute) (mlflow.gateway.config.RouteModelInfo attribute) name() (mlflow.data.dataset.Dataset property) (mlflow.entities.Dataset property) (mlflow.entities.Experiment property) (mlflow.entities.model_registry.ModelVersion property) (mlflow.entities.model_registry.RegisteredModel property) (mlflow.models.evaluation.base.EvaluationDataset property) (mlflow.recipes.recipe.BaseRecipe property) (mlflow.server.auth.entities.RegisteredModelPermission property) (mlflow.types.ColSpec property) (mlflow.types.ParamSpec property) (mlflow.types.TensorSpec property)

ndcg_at_k() (in module mlflow.metrics) NOTEBOOK (mlflow.entities.SourceType attribute) NUM_SAMPLE_ROWS_FOR_HASH (mlflow.models.evaluation.base.EvaluationDataset attribute) numpy_types() (mlflow.types.Schema method) NumpyDataset (class in mlflow.data.numpy_dataset)

O

on_batch_end() (mlflow.keras.callback.MLflowCallback method) (mlflow.tensorflow.MLflowCallback method) on_epoch_end() (mlflow.keras.callback.MLflowCallback method) (mlflow.tensorflow.MLflowCallback method) on_test_end() (mlflow.keras.callback.MLflowCallback method) (mlflow.tensorflow.MLflowCallback method) on_train_begin() (mlflow.keras.callback.MLflowCallback method) (mlflow.tensorflow.MLflowCallback method) OPENAI (mlflow.gateway.config.OpenAIAPIType attribute) (mlflow.gateway.config.Provider attribute) openai_api_base (mlflow.gateway.config.OpenAIConfig attribute)

openai_api_key (mlflow.gateway.config.OpenAIConfig attribute) openai_api_type (mlflow.gateway.config.OpenAIConfig attribute) openai_api_version (mlflow.gateway.config.OpenAIConfig attribute) openai_deployment_name (mlflow.gateway.config.OpenAIConfig attribute) openai_organization (mlflow.gateway.config.OpenAIConfig attribute) OpenAIAPIType (class in mlflow.gateway.config) OpenAIConfig (class in mlflow.gateway.config) OpenAIDeploymentClient (class in mlflow.deployments) OPERATION mlflow-models-update-pip-requirements command line option optional() (mlflow.types.ColSpec property) optional_input_names() (mlflow.types.Schema method)

P

PagedList (class in mlflow.store.entities) PALM (mlflow.gateway.config.Provider attribute) palm_api_key (mlflow.gateway.config.PaLMConfig attribute) PaLMConfig (class in mlflow.gateway.config) pandas_types() (mlflow.types.Schema method) PandasDataset (class in mlflow.data.pandas_dataset) Param (class in mlflow.entities) params() (mlflow.entities.RunData property) (mlflow.types.ParamSchema property) ParamSchema (class in mlflow.types) ParamSpec (class in mlflow.types) ParamSpec.ParamSpecTypedDict (class in mlflow.types) password_hash() (mlflow.server.auth.entities.User property) path() (mlflow.data.delta_dataset_source.DeltaDatasetSource property) (mlflow.entities.FileInfo property) (mlflow.models.evaluation.base.EvaluationDataset property) permission() (mlflow.server.auth.entities.ExperimentPermission property) (mlflow.server.auth.entities.RegisteredModelPermission property) persist_pretrained_model() (in module mlflow.transformers) precision_at_k() (in module mlflow.metrics) precision_score() (in module mlflow.metrics) predict() (in module mlflow.models) (mlflow.deployments.BaseDeploymentClient method) (mlflow.deployments.DatabricksDeploymentClient method) (mlflow.deployments.MlflowDeploymentClient method) (mlflow.deployments.OpenAIDeploymentClient method) (mlflow.keras.load.KerasModelWrapper method) (mlflow.models.FlavorBackend method) (mlflow.pyfunc.ChatModel method) (mlflow.pyfunc.PyFuncModel method) (mlflow.pyfunc.PythonModel method) (mlflow.sagemaker.SageMakerDeploymentClient method)

predictions() (mlflow.data.pandas_dataset.PandasDataset property) predictions_data() (mlflow.models.evaluation.base.EvaluationDataset property) predictions_name() (mlflow.models.evaluation.base.EvaluationDataset property) PredictionsResponse (class in mlflow.deployments) prepare_env() (mlflow.models.FlavorBackend method) profile() (mlflow.data.dataset.Dataset property) (mlflow.data.huggingface_dataset.HuggingFaceDataset property) (mlflow.data.numpy_dataset.NumpyDataset property) (mlflow.data.pandas_dataset.PandasDataset property) (mlflow.data.spark_dataset.SparkDataset property) (mlflow.data.tensorflow_dataset.TensorFlowDataset property) (mlflow.entities.Dataset property) (mlflow.recipes.recipe.BaseRecipe property) PROJECT (mlflow.entities.SourceType attribute) Provider (class in mlflow.gateway.config) provider (mlflow.gateway.config.Model attribute) (mlflow.gateway.config.ModelInfo attribute) (mlflow.gateway.config.RouteModelInfo attribute) push_image_to_ecr() (in module mlflow.sagemaker) push_model_to_sagemaker() (in module mlflow.sagemaker) PyFuncModel (class in mlflow.pyfunc) PythonModel (class in mlflow.pyfunc) PythonModelContext (class in mlflow.pyfunc)

Q

query() (in module mlflow.gateway) (mlflow.gateway.client.MlflowGatewayClient method) (mlflow.gateway.MlflowGatewayClient method)

R

r2_score() (in module mlflow.metrics) recall_at_k() (in module mlflow.metrics) recall_score() (in module mlflow.metrics) Recipe (class in mlflow.recipes) RECIPE (mlflow.entities.SourceType attribute) register_model() (in module mlflow) registered_model_permissions() (mlflow.server.auth.entities.User property) RegisteredModel (class in mlflow.entities.model_registry) RegisteredModelAlias (class in mlflow.entities.model_registry) RegisteredModelPermission (class in mlflow.server.auth.entities) RegisteredModelTag (class in mlflow.entities.model_registry) relevance() (in module mlflow.metrics.genai) rename_experiment() (mlflow.client.MlflowClient method) rename_registered_model() (mlflow.client.MlflowClient method) renewal_period (mlflow.gateway.config.Limit attribute) required() (mlflow.types.ColSpec property) (mlflow.types.TensorSpec property) required_input_names() (mlflow.types.Schema method) REQUIREMENT_STRINGS mlflow-models-update-pip-requirements command line option RestException restore_experiment() (mlflow.client.MlflowClient method) restore_run() (mlflow.client.MlflowClient method) rmse() (in module mlflow.metrics) rouge1() (in module mlflow.metrics) rouge2() (in module mlflow.metrics) rougeL() (in module mlflow.metrics) rougeLsum() (in module mlflow.metrics)

Route (class in mlflow.gateway.config) Route.Config (class in mlflow.gateway.config) route_type (mlflow.gateway.config.Route attribute) (mlflow.gateway.config.RouteConfig attribute) route_url (mlflow.gateway.config.Route attribute) RouteConfig (class in mlflow.gateway.config) RouteModelInfo (class in mlflow.gateway.config) routes (mlflow.gateway.config.GatewayConfig attribute) RouteType (class in mlflow.gateway.config) Run (class in mlflow.entities) run() (in module mlflow) (in module mlflow.projects) (mlflow.recipes.recipe.BaseRecipe method) run_id() (mlflow.entities.model_registry.ModelVersion property) (mlflow.entities.RunInfo property) (mlflow.models.model.ModelInfo property) (mlflow.projects.SubmittedRun property) run_link() (mlflow.entities.model_registry.ModelVersion property) run_local() (in module mlflow.deployments) (in module mlflow.sagemaker) run_name() (mlflow.entities.RunInfo property) run_uuid() (mlflow.entities.RunInfo property) RunData (class in mlflow.entities) RunInfo (class in mlflow.entities) RunInputs (class in mlflow.entities) RUNNING (mlflow.entities.RunStatus attribute) RunOperations (class in mlflow.utils.async_logging.run_operations) RunStatus (class in mlflow.entities) RunTag (class in mlflow.entities)

S

SageMakerDeploymentClient (class in mlflow.sagemaker) save() (mlflow.models.EvaluationResult method) (mlflow.models.Model method) save_explainer() (in module mlflow.shap) save_model() (in module mlflow.catboost) (in module mlflow.diviner) (in module mlflow.fastai) (in module mlflow.gluon) (in module mlflow.h2o) (in module mlflow.johnsnowlabs) (in module mlflow.keras.save) (in module mlflow.langchain) (in module mlflow.lightgbm) (in module mlflow.mleap) (in module mlflow.onnx) (in module mlflow.openai) (in module mlflow.paddle) (in module mlflow.pmdarima) (in module mlflow.prophet) (in module mlflow.pyfunc) (in module mlflow.pytorch) (in module mlflow.sentence_transformers) (in module mlflow.sklearn) (in module mlflow.spacy) (in module mlflow.spark) (in module mlflow.statsmodels) (in module mlflow.tensorflow) (in module mlflow.transformers) (in module mlflow.xgboost) saved_input_example_info() (mlflow.models.Model property) (mlflow.models.model.ModelInfo property) SCHEDULED (mlflow.entities.RunStatus attribute) Schema (class in mlflow.types) schema() (mlflow.data.dataset.Dataset property) (mlflow.data.huggingface_dataset.HuggingFaceDataset property) (mlflow.data.numpy_dataset.NumpyDataset property) (mlflow.data.pandas_dataset.PandasDataset property) (mlflow.data.spark_dataset.SparkDataset property) (mlflow.data.tensorflow_dataset.TensorFlowDataset property) (mlflow.entities.Dataset property) search_experiments() (in module mlflow) (mlflow.client.MlflowClient method) search_model_versions() (in module mlflow) (mlflow.client.MlflowClient method) search_registered_models() (in module mlflow) (mlflow.client.MlflowClient method) search_routes() (in module mlflow.gateway) (mlflow.gateway.client.MlflowGatewayClient method) (mlflow.gateway.MlflowGatewayClient method) search_runs() (in module mlflow) (mlflow.client.MlflowClient method) serialize_as_json() (mlflow.MlflowException method) serve() (mlflow.models.FlavorBackend method) session_length_seconds (mlflow.gateway.config.AWSRole attribute)

set_deployments_target() (in module mlflow.deployments) set_experiment() (in module mlflow) set_experiment_tag() (in module mlflow) (mlflow.client.MlflowClient method) set_experiment_tags() (in module mlflow) set_gateway_uri() (in module mlflow.gateway) set_limits() (in module mlflow.gateway) (mlflow.gateway.client.MlflowGatewayClient method) (mlflow.gateway.MlflowGatewayClient method) set_model_version_tag() (mlflow.client.MlflowClient method) set_registered_model_alias() (mlflow.client.MlflowClient method) set_registered_model_tag() (mlflow.client.MlflowClient method) set_registry_uri() (in module mlflow) set_signature() (in module mlflow.models) set_system_metrics_node_id() (in module mlflow) (in module mlflow.system_metrics) set_system_metrics_samples_before_logging() (in module mlflow) (in module mlflow.system_metrics) set_system_metrics_sampling_interval() (in module mlflow) (in module mlflow.system_metrics) set_tag() (in module mlflow) (mlflow.client.MlflowClient method) set_tags() (in module mlflow) set_terminated() (mlflow.client.MlflowClient method) set_tracking_uri() (in module mlflow) shape() (mlflow.types.ParamSpec property) (mlflow.types.TensorSpec property) should_autolog (mlflow.statsmodels.AutologHelpers attribute) signature() (mlflow.models.Model property) (mlflow.models.model.ModelInfo property) signature_dict() (mlflow.models.model.ModelInfo property) source() (mlflow.data.dataset.Dataset property) (mlflow.data.huggingface_dataset.HuggingFaceDataset property) (mlflow.data.numpy_dataset.NumpyDataset property) (mlflow.data.pandas_dataset.PandasDataset property) (mlflow.data.spark_dataset.SparkDataset property) (mlflow.data.tensorflow_dataset.TensorFlowDataset property) (mlflow.entities.Dataset property) (mlflow.entities.model_registry.ModelVersion property) source_type() (mlflow.entities.Dataset property) SourceType (class in mlflow.entities) SOURCETYPE_TO_STRING (mlflow.entities.SourceType attribute) SPARK_DATAFRAME_LIMIT (mlflow.models.evaluation.base.EvaluationDataset attribute) spark_udf() (in module mlflow.pyfunc) SparkDataset (class in mlflow.data.spark_dataset) SparkDatasetSource (class in mlflow.data.spark_dataset_source) start_run() (in module mlflow) start_time() (mlflow.entities.RunInfo property) status() (mlflow.entities.model_registry.ModelVersion property) (mlflow.entities.RunInfo property) status_message() (mlflow.entities.model_registry.ModelVersion property) step() (mlflow.entities.Metric property) string (mlflow.types.DataType attribute) SubmittedRun (class in mlflow.projects)

T

tables() (mlflow.models.EvaluationResult property) tags() (mlflow.entities.DatasetInput property) (mlflow.entities.Experiment property) (mlflow.entities.model_registry.ModelVersion property) (mlflow.entities.model_registry.RegisteredModel property) (mlflow.entities.RunData property) target_help() (in module mlflow.sagemaker) targets() (mlflow.data.huggingface_dataset.HuggingFaceDataset property) (mlflow.data.numpy_dataset.NumpyDataset property) (mlflow.data.pandas_dataset.PandasDataset property) (mlflow.data.spark_dataset.SparkDataset property) (mlflow.data.tensorflow_dataset.TensorFlowDataset property) targets_name() (mlflow.models.evaluation.base.EvaluationDataset property) TensorFlowDataset (class in mlflow.data.tensorflow_dataset) TensorSpec (class in mlflow.types) terminate_transform_job() (in module mlflow.sagemaker) threshold() (mlflow.models.MetricThreshold property) timestamp() (mlflow.entities.Metric property) to_dict() (mlflow.data.dataset.Dataset method) (mlflow.data.huggingface_dataset.HuggingFaceDataset method) (mlflow.data.numpy_dataset.NumpyDataset method) (mlflow.data.pandas_dataset.PandasDataset method) (mlflow.data.spark_dataset.SparkDataset method) (mlflow.data.tensorflow_dataset.TensorFlowDataset method) (mlflow.models.Model method) (mlflow.models.ModelSignature method) (mlflow.types.ParamSchema method) (mlflow.types.Schema method) to_dictionary() (mlflow.entities.Run method) (mlflow.entities.RunData method) (mlflow.entities.RunInputs method) to_endpoint() (mlflow.gateway.config.Route method) to_evaluation_dataset() (mlflow.data.huggingface_dataset.HuggingFaceDataset method) (mlflow.data.tensorflow_dataset.TensorFlowDataset method) to_json() (mlflow.data.dataset.Dataset method) (mlflow.data.dataset_source.DatasetSource method) (mlflow.deployments.PredictionsResponse method) (mlflow.models.Model method) (mlflow.server.auth.entities.ExperimentPermission method) (mlflow.server.auth.entities.RegisteredModelPermission method) (mlflow.server.auth.entities.User method) (mlflow.types.ParamSchema method) (mlflow.types.Schema method)

to_list() (mlflow.store.entities.PagedList method) to_numpy() (mlflow.types.DataType method) to_pandas() (mlflow.types.DataType method) to_proto() (mlflow.entities.Dataset method) (mlflow.entities.DatasetInput method) (mlflow.entities.Experiment method) (mlflow.entities.ExperimentTag method) (mlflow.entities.FileInfo method) (mlflow.entities.InputTag method) (mlflow.entities.Metric method) (mlflow.entities.model_registry.ModelVersion method) (mlflow.entities.model_registry.ModelVersionTag method) (mlflow.entities.model_registry.RegisteredModel method) (mlflow.entities.model_registry.RegisteredModelAlias method) (mlflow.entities.model_registry.RegisteredModelTag method) (mlflow.entities.Param method) (mlflow.entities.Run method) (mlflow.entities.RunData method) (mlflow.entities.RunInfo method) (mlflow.entities.RunInputs method) (mlflow.entities.RunTag method) (mlflow.entities.ViewType class method) to_python() (mlflow.types.DataType method) to_route() (mlflow.gateway.config.RouteConfig method) to_string() (mlflow.entities.RunStatus static method) (mlflow.entities.SourceType static method) (mlflow.entities.ViewType class method) to_yaml() (mlflow.models.Model method) token_count() (in module mlflow.metrics) TokenUsageStats (class in mlflow.types.llm) toxicity() (in module mlflow.metrics) tracking_uri() (mlflow.client.MlflowClient property) transition_model_version_stage() (mlflow.client.MlflowClient method) type() (mlflow.types.ColSpec property) (mlflow.types.TensorSpec property)

U

UNKNOWN (mlflow.entities.SourceType attribute) unwrap_python_model() (mlflow.pyfunc.PyFuncModel method) update_deployment() (mlflow.deployments.BaseDeploymentClient method) (mlflow.deployments.DatabricksDeploymentClient method) (mlflow.deployments.MlflowDeploymentClient method) (mlflow.deployments.OpenAIDeploymentClient method) (mlflow.sagemaker.SageMakerDeploymentClient method) update_endpoint() (mlflow.deployments.BaseDeploymentClient method) (mlflow.deployments.DatabricksDeploymentClient method) (mlflow.deployments.MlflowDeploymentClient method) (mlflow.deployments.OpenAIDeploymentClient method) (mlflow.sagemaker.SageMakerDeploymentClient method) update_experiment_permission() (mlflow.server.auth.client.AuthServiceClient method) update_model_version() (mlflow.client.MlflowClient method) update_registered_model() (mlflow.client.MlflowClient method) update_registered_model_permission() (mlflow.server.auth.client.AuthServiceClient method)

update_run() (mlflow.client.MlflowClient method) update_user_admin() (mlflow.server.auth.client.AuthServiceClient method) update_user_password() (mlflow.server.auth.client.AuthServiceClient method) URI mlflow-run command line option uri() (mlflow.data.filesystem_dataset_source.FileSystemDatasetSource property) (mlflow.models.EvaluationArtifact property) URL mlflow-db-upgrade command line option url() (mlflow.data.http_dataset_source.HTTPDatasetSource property) User (class in mlflow.server.auth.entities) user_id() (mlflow.entities.model_registry.ModelVersion property) (mlflow.entities.RunInfo property) (mlflow.server.auth.entities.ExperimentPermission property) (mlflow.server.auth.entities.RegisteredModelPermission property) username() (mlflow.server.auth.entities.User property) utc_time_created() (mlflow.models.model.ModelInfo property)

V

validate_ai21labs_api_key() (mlflow.gateway.config.AI21LabsConfig class method) validate_anthropic_api_key() (mlflow.gateway.config.AnthropicConfig class method) validate_cohere_api_key() (mlflow.gateway.config.CohereConfig class method) validate_config() (mlflow.gateway.config.Model class method) validate_endpoint_name() (mlflow.gateway.config.RouteConfig class method) validate_field_compatibility() (mlflow.gateway.config.OpenAIConfig class method) validate_limit() (mlflow.gateway.config.RouteConfig class method) validate_mistral_api_key() (mlflow.gateway.config.MistralConfig class method) validate_model() (mlflow.gateway.config.RouteConfig class method) validate_mosaicml_api_key() (mlflow.gateway.config.MosaicMLConfig class method) validate_openai_api_key() (mlflow.gateway.config.OpenAIConfig class method) validate_palm_api_key() (mlflow.gateway.config.PaLMConfig class method) validate_provider() (mlflow.gateway.config.Model class method) validate_route_type() (mlflow.gateway.config.RouteConfig class method) validate_route_type_and_model_name() (mlflow.gateway.config.RouteConfig class method)

validate_schema() (in module mlflow.models) validate_type_and_shape() (mlflow.types.ParamSpec class method) value() (mlflow.entities.ExperimentTag property) (mlflow.entities.InputTag property) (mlflow.entities.Metric property) (mlflow.entities.model_registry.ModelVersionTag property) (mlflow.entities.model_registry.RegisteredModelTag property) (mlflow.entities.Param property) (mlflow.entities.RunTag property) values() (mlflow.gateway.config.Provider class method) version() (mlflow.entities.model_registry.ModelVersion property) (mlflow.entities.model_registry.RegisteredModelAlias property) view_type_to_stages() (mlflow.entities.LifecycleStage class method) ViewType (class in mlflow.entities) VIRTUALENV (mlflow.pyfunc.EnvType attribute)

W

wait() (mlflow.projects.SubmittedRun method) (mlflow.utils.async_logging.run_operations.RunOperations method)