Package org.mlflow.api.proto

Interface Service.FinalizeLoggedModelOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
Service.FinalizeLoggedModel, Service.FinalizeLoggedModel.Builder
Enclosing class:
Service
public static interface Service.FinalizeLoggedModelOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    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 Details

    • 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

      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.