Package tensorflow.serving

Interface RegressionOuterClass.RegressionResponseOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
RegressionOuterClass.RegressionResponse, RegressionOuterClass.RegressionResponse.Builder
Enclosing class:
RegressionOuterClass
public static interface RegressionOuterClass.RegressionResponseOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    Model.ModelSpec
    getModelSpec()
    Effective Model Specification used for regression.
    Model.ModelSpecOrBuilder
    getModelSpecOrBuilder()
    Effective Model Specification used for regression.
    RegressionOuterClass.RegressionResult
    getResult()
    .tensorflow.serving.RegressionResult result = 1;
    RegressionOuterClass.RegressionResultOrBuilder
    getResultOrBuilder()
    .tensorflow.serving.RegressionResult result = 1;
    boolean
    hasModelSpec()
    Effective Model Specification used for regression.
    boolean
    hasResult()
    .tensorflow.serving.RegressionResult result = 1;

    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

    • hasModelSpec

      boolean hasModelSpec()
       Effective Model Specification used for regression.
      .tensorflow.serving.ModelSpec model_spec = 2;
      Returns:
      Whether the modelSpec field is set.

    • getModelSpec

      Model.ModelSpec getModelSpec()
       Effective Model Specification used for regression.
      .tensorflow.serving.ModelSpec model_spec = 2;
      Returns:
      The modelSpec.

    • getModelSpecOrBuilder

      Model.ModelSpecOrBuilder getModelSpecOrBuilder()
       Effective Model Specification used for regression.
      .tensorflow.serving.ModelSpec model_spec = 2;

    • hasResult

      boolean hasResult()
      .tensorflow.serving.RegressionResult result = 1;
      Returns:
      Whether the result field is set.

    • getResult

      RegressionOuterClass.RegressionResult getResult()
      .tensorflow.serving.RegressionResult result = 1;
      Returns:
      The result.

    • getResultOrBuilder

      RegressionOuterClass.RegressionResultOrBuilder getResultOrBuilder()
      .tensorflow.serving.RegressionResult result = 1;