Class AutoMlForecastingInputs.Transformation.TimestampTransformation.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<AutoMlForecastingInputs.Transformation.TimestampTransformation.Builder>
com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation.Builder
All Implemented Interfaces:
AutoMlForecastingInputs.Transformation.TimestampTransformationOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
AutoMlForecastingInputs.Transformation.TimestampTransformation

public static final class AutoMlForecastingInputs.Transformation.TimestampTransformation.Builder extends com.google.protobuf.GeneratedMessage.Builder<AutoMlForecastingInputs.Transformation.TimestampTransformation.Builder> implements AutoMlForecastingInputs.Transformation.TimestampTransformationOrBuilder
 Training pipeline will perform following transformation functions.

 *  Apply the transformation functions for Numerical columns.

 *  Determine the year, month, day,and weekday. Treat each value from the
 timestamp as a Categorical column.

 *  Invalid numerical values (for example, values that fall outside of a
 typical timestamp range, or are extreme values) receive no special
 treatment and are not removed.
 
Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation