Package com.google.cloud.aiplatform.v1

Interface FeatureNoiseSigma.NoiseSigmaForFeatureOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
FeatureNoiseSigma.NoiseSigmaForFeature, FeatureNoiseSigma.NoiseSigmaForFeature.Builder
Enclosing class:
FeatureNoiseSigma
public static interface FeatureNoiseSigma.NoiseSigmaForFeatureOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    String
    getName()
    The name of the input feature for which noise sigma is provided.
    com.google.protobuf.ByteString
    getNameBytes()
    The name of the input feature for which noise sigma is provided.
    float
    getSigma()
    This represents the standard deviation of the Gaussian kernel that will be used to add noise to the feature prior to computing gradients.

    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

    • getName

      String getName()
       The name of the input feature for which noise sigma is provided. The
 features are defined in
 [explanation metadata
 inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      string name = 1;
      Returns:
      The name.

    • getNameBytes

      com.google.protobuf.ByteString getNameBytes()
       The name of the input feature for which noise sigma is provided. The
 features are defined in
 [explanation metadata
 inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      string name = 1;
      Returns:
      The bytes for name.

    • getSigma

      float getSigma()
       This represents the standard deviation of the Gaussian kernel that will
 be used to add noise to the feature prior to computing gradients. Similar
 to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
 but represents the noise added to the current feature. Defaults to 0.1.
      float sigma = 2;
      Returns:
      The sigma.