Interface Service.LoggedModelOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
Service.LoggedModel, Service.LoggedModel.Builder
Enclosing class:
Service

public static interface Service.LoggedModelOrBuilder extends com.google.protobuf.MessageOrBuilder
  • Method Summary

    Modifier and Type
    Method
    Description
    LoggedModel params and metrics.
    LoggedModel params and metrics.
    LoggedModel attributes such as model ID, status, tags, etc.
    LoggedModel attributes such as model ID, status, tags, etc.
    boolean
    LoggedModel params and metrics.
    boolean
    LoggedModel attributes such as model ID, status, tags, etc.

    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

    • hasInfo

      boolean hasInfo()
       LoggedModel attributes such as model ID, status, tags, etc.
       
      optional .mlflow.LoggedModelInfo info = 1;
      Returns:
      Whether the info field is set.
    • getInfo

       LoggedModel attributes such as model ID, status, tags, etc.
       
      optional .mlflow.LoggedModelInfo info = 1;
      Returns:
      The info.
    • getInfoOrBuilder

       LoggedModel attributes such as model ID, status, tags, etc.
       
      optional .mlflow.LoggedModelInfo info = 1;
    • hasData

      boolean hasData()
       LoggedModel params and metrics.
       
      optional .mlflow.LoggedModelData data = 2;
      Returns:
      Whether the data field is set.
    • getData

       LoggedModel params and metrics.
       
      optional .mlflow.LoggedModelData data = 2;
      Returns:
      The data.
    • getDataOrBuilder

       LoggedModel params and metrics.
       
      optional .mlflow.LoggedModelData data = 2;