Package org.mlflow.api.proto

Interface Service.FinalizeLoggedModelOrBuilder

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method Description
      java.lang.String getModelId()
      The ID of the LoggedModel to finalize
      com.google.protobuf.ByteString getModelIdBytes()
      The ID of the LoggedModel to finalize
      Service.LoggedModelStatus getStatus()
      Whether or not the model is ready for use.
      boolean hasModelId()
      The ID of the LoggedModel to finalize
      boolean hasStatus()
      Whether or not the model is ready for use.

      • 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 Detail

      • hasModelId

        boolean hasModelId()
         The ID of the LoggedModel to finalize
        optional string model_id = 1 [(.mlflow.validate_required) = true];
        Returns:
        Whether the modelId field is set.

      • getModelId

        java.lang.String getModelId()
         The ID of the LoggedModel to finalize
        optional string model_id = 1 [(.mlflow.validate_required) = true];
        Returns:
        The modelId.

      • getModelIdBytes

        com.google.protobuf.ByteString getModelIdBytes()
         The ID of the LoggedModel to finalize
        optional string model_id = 1 [(.mlflow.validate_required) = true];
        Returns:
        The bytes for modelId.

      • hasStatus

        boolean hasStatus()
         Whether or not the model is ready for use.
 Valid values in this message: ENUM<LOGGED_MODEL_READY, LOGGED_MODEL_UPLOAD_FAILED>
 ("LOGGED_MODEL_UPLOAD_FAILED" indicates that something went wrong when logging
 the model weights / agent code)
        optional .mlflow.LoggedModelStatus status = 2 [(.mlflow.validate_required) = true];
        Returns:
        Whether the status field is set.

      • getStatus

        Service.LoggedModelStatus getStatus()
         Whether or not the model is ready for use.
 Valid values in this message: ENUM<LOGGED_MODEL_READY, LOGGED_MODEL_UPLOAD_FAILED>
 ("LOGGED_MODEL_UPLOAD_FAILED" indicates that something went wrong when logging
 the model weights / agent code)
        optional .mlflow.LoggedModelStatus status = 2 [(.mlflow.validate_required) = true];
        Returns:
        The status.