Package org.mlflow.api.proto

Interface ModelRegistry.TransitionModelVersionStageOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ModelRegistry.TransitionModelVersionStage, ModelRegistry.TransitionModelVersionStage.Builder
Enclosing class:
ModelRegistry
public static interface ModelRegistry.TransitionModelVersionStageOrBuilder
extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type Method Description
    boolean getArchiveExistingVersions()
    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.
    java.lang.String getName()
    Name of the registered model
    com.google.protobuf.ByteString getNameBytes()
    Name of the registered model
    java.lang.String getStage()
    Transition `model_version` to new stage.
    com.google.protobuf.ByteString getStageBytes()
    Transition `model_version` to new stage.
    java.lang.String getVersion()
    Model version number
    com.google.protobuf.ByteString getVersionBytes()
    Model version number
    boolean hasArchiveExistingVersions()
    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.
    boolean hasName()
    Name of the registered model
    boolean hasStage()
    Transition `model_version` to new stage.
    boolean hasVersion()
    Model version number

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • hasName

      boolean hasName()
       Name of the registered model
      optional string name = 1 [(.mlflow.validate_required) = true];

    • getName

      java.lang.String getName()
       Name of the registered model
      optional string name = 1 [(.mlflow.validate_required) = true];

    • getNameBytes

      com.google.protobuf.ByteString getNameBytes()
       Name of the registered model
      optional string name = 1 [(.mlflow.validate_required) = true];

    • hasVersion

      boolean hasVersion()
       Model version number
      optional string version = 2 [(.mlflow.validate_required) = true];

    • getVersion

      java.lang.String getVersion()
       Model version number
      optional string version = 2 [(.mlflow.validate_required) = true];

    • getVersionBytes

      com.google.protobuf.ByteString getVersionBytes()
       Model version number
      optional string version = 2 [(.mlflow.validate_required) = true];

    • hasStage

      boolean hasStage()
       Transition `model_version` to new stage.
      optional string stage = 3 [(.mlflow.validate_required) = true];

    • getStage

      java.lang.String getStage()
       Transition `model_version` to new stage.
      optional string stage = 3 [(.mlflow.validate_required) = true];

    • getStageBytes

      com.google.protobuf.ByteString getStageBytes()
       Transition `model_version` to new stage.
      optional string stage = 3 [(.mlflow.validate_required) = true];

    • hasArchiveExistingVersions

      boolean hasArchiveExistingVersions()
       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.
 This ensures that at-most-one model version exists in the target stage.
 This field is *required* when transitioning a model versions's stage
      optional bool archive_existing_versions = 4 [(.mlflow.validate_required) = true];

    • getArchiveExistingVersions

      boolean getArchiveExistingVersions()
       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.
 This ensures that at-most-one model version exists in the target stage.
 This field is *required* when transitioning a model versions's stage
      optional bool archive_existing_versions = 4 [(.mlflow.validate_required) = true];