Package org.mlflow.api.proto

Interface ModelRegistry.CreateModelVersionOrBuilder

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

  • Method Summary

    Modifier and Type Method Description
    java.lang.String getName()
    Register model under this name
    com.google.protobuf.ByteString getNameBytes()
    Register model under this name
    java.lang.String getRunId()
    MLflow run ID for correlation, if ``source`` was generated by an experiment run in MLflow tracking server
    com.google.protobuf.ByteString getRunIdBytes()
    MLflow run ID for correlation, if ``source`` was generated by an experiment run in MLflow tracking server
    java.lang.String getSource()
    URI indicating the location of the model artifacts.
    com.google.protobuf.ByteString getSourceBytes()
    URI indicating the location of the model artifacts.
    boolean hasName()
    Register model under this name
    boolean hasRunId()
    MLflow run ID for correlation, if ``source`` was generated by an experiment run in MLflow tracking server
    boolean hasSource()
    URI indicating the location of the model artifacts.

    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()
       Register model under this name
      optional string name = 1 [(.mlflow.validate_required) = true];

    • getName

      java.lang.String getName()
       Register model under this name
      optional string name = 1 [(.mlflow.validate_required) = true];

    • getNameBytes

      com.google.protobuf.ByteString getNameBytes()
       Register model under this name
      optional string name = 1 [(.mlflow.validate_required) = true];

    • hasSource

      boolean hasSource()
       URI indicating the location of the model artifacts.
      optional string source = 2 [(.mlflow.validate_required) = true];

    • getSource

      java.lang.String getSource()
       URI indicating the location of the model artifacts.
      optional string source = 2 [(.mlflow.validate_required) = true];

    • getSourceBytes

      com.google.protobuf.ByteString getSourceBytes()
       URI indicating the location of the model artifacts.
      optional string source = 2 [(.mlflow.validate_required) = true];

    • hasRunId

      boolean hasRunId()
       MLflow run ID for correlation, if ``source`` was generated by an experiment run in
 MLflow tracking server
      optional string run_id = 3;

    • getRunId

      java.lang.String getRunId()
       MLflow run ID for correlation, if ``source`` was generated by an experiment run in
 MLflow tracking server
      optional string run_id = 3;

    • getRunIdBytes

      com.google.protobuf.ByteString getRunIdBytes()
       MLflow run ID for correlation, if ``source`` was generated by an experiment run in
 MLflow tracking server
      optional string run_id = 3;