ModelRegistry.ModelVersionOrBuilder (MLflow Tracking API 1.20.2 API)

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

ModelRegistry.ModelVersion, ModelRegistry.ModelVersion.Builder

Enclosing class:

ModelRegistry
```
public static interface ModelRegistry.ModelVersionOrBuilder
extends com.google.protobuf.MessageOrBuilder
```

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method and Description
`long`	`getCreationTimestamp()` Timestamp recorded when this ``model_version`` was created.
`String`	`getCurrentStage()` Current stage for this ``model_version``.
`com.google.protobuf.ByteString`	`getCurrentStageBytes()` Current stage for this ``model_version``.
`String`	`getDescription()` Description of this ``model_version``.
`com.google.protobuf.ByteString`	`getDescriptionBytes()` Description of this ``model_version``.
`long`	`getLastUpdatedTimestamp()` Timestamp recorded when metadata for this ``model_version`` was last updated.
`String`	`getName()` Unique name of the model
`com.google.protobuf.ByteString`	`getNameBytes()` Unique name of the model
`String`	`getRunId()` MLflow run ID used when creating ``model_version``, if ``source`` was generated by an experiment run stored in MLflow tracking server.
`com.google.protobuf.ByteString`	`getRunIdBytes()` MLflow run ID used when creating ``model_version``, if ``source`` was generated by an experiment run stored in MLflow tracking server.
`String`	`getRunLink()` Run Link: Direct link to the run that generated this version
`com.google.protobuf.ByteString`	`getRunLinkBytes()` Run Link: Direct link to the run that generated this version
`String`	`getSource()` URI indicating the location of the source model artifacts, used when creating ``model_version``
`com.google.protobuf.ByteString`	`getSourceBytes()` URI indicating the location of the source model artifacts, used when creating ``model_version``
`ModelRegistry.ModelVersionStatus`	`getStatus()` Current status of ``model_version``
`String`	`getStatusMessage()` Details on current ``status``, if it is pending or failed.
`com.google.protobuf.ByteString`	`getStatusMessageBytes()` Details on current ``status``, if it is pending or failed.
`ModelRegistry.ModelVersionTag`	`getTags(int index)` Tags: Additional metadata key-value pairs for this ``model_version``.
`int`	`getTagsCount()` Tags: Additional metadata key-value pairs for this ``model_version``.
`List<ModelRegistry.ModelVersionTag>`	`getTagsList()` Tags: Additional metadata key-value pairs for this ``model_version``.
`ModelRegistry.ModelVersionTagOrBuilder`	`getTagsOrBuilder(int index)` Tags: Additional metadata key-value pairs for this ``model_version``.
`List<? extends ModelRegistry.ModelVersionTagOrBuilder>`	`getTagsOrBuilderList()` Tags: Additional metadata key-value pairs for this ``model_version``.
`String`	`getUserId()` User that created this ``model_version``.
`com.google.protobuf.ByteString`	`getUserIdBytes()` User that created this ``model_version``.
`String`	`getVersion()` Model's version number.
`com.google.protobuf.ByteString`	`getVersionBytes()` Model's version number.
`boolean`	`hasCreationTimestamp()` Timestamp recorded when this ``model_version`` was created.
`boolean`	`hasCurrentStage()` Current stage for this ``model_version``.
`boolean`	`hasDescription()` Description of this ``model_version``.
`boolean`	`hasLastUpdatedTimestamp()` Timestamp recorded when metadata for this ``model_version`` was last updated.
`boolean`	`hasName()` Unique name of the model
`boolean`	`hasRunId()` MLflow run ID used when creating ``model_version``, if ``source`` was generated by an experiment run stored in MLflow tracking server.
`boolean`	`hasRunLink()` Run Link: Direct link to the run that generated this version
`boolean`	`hasSource()` URI indicating the location of the source model artifacts, used when creating ``model_version``
`boolean`	`hasStatus()` Current status of ``model_version``
`boolean`	`hasStatusMessage()` Details on current ``status``, if it is pending or failed.
`boolean`	`hasUserId()` User that created this ``model_version``.
`boolean`	`hasVersion()` Model's version number.

Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder
isInitialized

Method Detail

hasName

boolean hasName()

 Unique name of the model

optional string name = 1;

getName

String getName()

 Unique name of the model

optional string name = 1;

getNameBytes

com.google.protobuf.ByteString getNameBytes()

 Unique name of the model

optional string name = 1;

hasVersion

boolean hasVersion()

 Model's version number.

optional string version = 2;

getVersion

String getVersion()

 Model's version number.

optional string version = 2;

getVersionBytes

com.google.protobuf.ByteString getVersionBytes()

 Model's version number.

optional string version = 2;

hasCreationTimestamp

boolean hasCreationTimestamp()

 Timestamp recorded when this ``model_version`` was created.

optional int64 creation_timestamp = 3;

getCreationTimestamp

long getCreationTimestamp()

 Timestamp recorded when this ``model_version`` was created.

optional int64 creation_timestamp = 3;

hasLastUpdatedTimestamp

boolean hasLastUpdatedTimestamp()

 Timestamp recorded when metadata for this ``model_version`` was last updated.

optional int64 last_updated_timestamp = 4;

getLastUpdatedTimestamp

long getLastUpdatedTimestamp()

 Timestamp recorded when metadata for this ``model_version`` was last updated.

optional int64 last_updated_timestamp = 4;

hasUserId

boolean hasUserId()

 User that created this ``model_version``.

optional string user_id = 5;

getUserId

String getUserId()

 User that created this ``model_version``.

optional string user_id = 5;

getUserIdBytes

com.google.protobuf.ByteString getUserIdBytes()

 User that created this ``model_version``.

optional string user_id = 5;

hasCurrentStage

boolean hasCurrentStage()

 Current stage for this ``model_version``.

optional string current_stage = 6;

getCurrentStage

String getCurrentStage()

 Current stage for this ``model_version``.

optional string current_stage = 6;

getCurrentStageBytes

com.google.protobuf.ByteString getCurrentStageBytes()

 Current stage for this ``model_version``.

optional string current_stage = 6;

hasDescription

boolean hasDescription()

 Description of this ``model_version``.

optional string description = 7;

getDescription

String getDescription()

 Description of this ``model_version``.

optional string description = 7;

getDescriptionBytes

com.google.protobuf.ByteString getDescriptionBytes()

 Description of this ``model_version``.

optional string description = 7;

hasSource

boolean hasSource()

 URI indicating the location of the source model artifacts, used when creating ``model_version``

optional string source = 8;

getSource

String getSource()

 URI indicating the location of the source model artifacts, used when creating ``model_version``

optional string source = 8;

getSourceBytes

com.google.protobuf.ByteString getSourceBytes()

 URI indicating the location of the source model artifacts, used when creating ``model_version``

optional string source = 8;

hasRunId

boolean hasRunId()

 MLflow run ID used when creating ``model_version``, if ``source`` was generated by an
 experiment run stored in MLflow tracking server.

optional string run_id = 9;

getRunId

String getRunId()

 MLflow run ID used when creating ``model_version``, if ``source`` was generated by an
 experiment run stored in MLflow tracking server.

optional string run_id = 9;

getRunIdBytes

com.google.protobuf.ByteString getRunIdBytes()

 MLflow run ID used when creating ``model_version``, if ``source`` was generated by an
 experiment run stored in MLflow tracking server.

optional string run_id = 9;

hasStatus

boolean hasStatus()

 Current status of ``model_version``

optional .mlflow.ModelVersionStatus status = 10;

getStatus

ModelRegistry.ModelVersionStatus getStatus()

 Current status of ``model_version``

optional .mlflow.ModelVersionStatus status = 10;

hasStatusMessage

boolean hasStatusMessage()

 Details on current ``status``, if it is pending or failed.

optional string status_message = 11;

getStatusMessage

String getStatusMessage()

 Details on current ``status``, if it is pending or failed.

optional string status_message = 11;

getStatusMessageBytes

com.google.protobuf.ByteString getStatusMessageBytes()

 Details on current ``status``, if it is pending or failed.

optional string status_message = 11;