Class AutoMlForecastingInputs.Transformation.TimestampTransformation

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

public static final class AutoMlForecastingInputs.Transformation.TimestampTransformation extends com.google.protobuf.GeneratedMessage 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
See Also: