Class ExplanationMetadata.InputMetadata.FeatureValueDomain.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<ExplanationMetadata.InputMetadata.FeatureValueDomain.Builder>
com.google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.FeatureValueDomain.Builder
All Implemented Interfaces:
ExplanationMetadata.InputMetadata.FeatureValueDomainOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
ExplanationMetadata.InputMetadata.FeatureValueDomain

public static final class ExplanationMetadata.InputMetadata.FeatureValueDomain.Builder extends com.google.protobuf.GeneratedMessage.Builder<ExplanationMetadata.InputMetadata.FeatureValueDomain.Builder> implements ExplanationMetadata.InputMetadata.FeatureValueDomainOrBuilder
 Domain details of the input feature value. Provides numeric information
 about the feature, such as its range (min, max). If the feature has been
 pre-processed, for example with z-scoring, then it provides information
 about how to recover the original feature. For example, if the input
 feature is an image and it has been pre-processed to obtain 0-mean and
 stddev = 1 values, then original_mean, and original_stddev refer to the
 mean and stddev of the original feature (e.g. image tensor) from which
 input feature (with mean = 0 and stddev = 1) was obtained.
 
Protobuf type google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.FeatureValueDomain