Class AutoMlTablesInputs.Transformation.TextTransformation.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<AutoMlTablesInputs.Transformation.TextTransformation.Builder>
com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation.Builder
All Implemented Interfaces:
AutoMlTablesInputs.Transformation.TextTransformationOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
AutoMlTablesInputs.Transformation.TextTransformation

public static final class AutoMlTablesInputs.Transformation.TextTransformation.Builder extends com.google.protobuf.GeneratedMessage.Builder<AutoMlTablesInputs.Transformation.TextTransformation.Builder> implements AutoMlTablesInputs.Transformation.TextTransformationOrBuilder
 Training pipeline will perform following transformation functions.
 *  The text as is--no change to case, punctuation, spelling, tense, and
 so
 on.
 *  Tokenize text to words. Convert each words to a dictionary lookup
 index
 and generate an embedding for each index. Combine the embedding of all
 elements into a single embedding using the mean.
 *  Tokenization is based on unicode script boundaries.
 *  Missing values get their own lookup index and resulting embedding.
 *  Stop-words receive no special treatment and are not removed.
 
Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation