Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::Schema::TrainingJob::Definition::AutoMlTablesInputs::Transformation::NumericTransformation (v0.40.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::Schema::TrainingJob::Definition::AutoMlTablesInputs::Transformation::NumericTransformation.

Training pipeline will perform following transformation functions.

  • The value converted to float32.
  • The z_score of the value.
  • log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.
  • z_score of log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.
  • A boolean value that indicates whether the value is valid.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#column_name

def column_name() -> ::String
Returns
  • (::String)

#column_name=

def column_name=(value) -> ::String
Parameter
  • value (::String)
Returns
  • (::String)

#invalid_values_allowed

def invalid_values_allowed() -> ::Boolean
Returns
  • (::Boolean) — If invalid values is allowed, the training pipeline will create a boolean feature that indicated whether the value is valid. Otherwise, the training pipeline will discard the input row from trainining data.

#invalid_values_allowed=

def invalid_values_allowed=(value) -> ::Boolean
Parameter
  • value (::Boolean) — If invalid values is allowed, the training pipeline will create a boolean feature that indicated whether the value is valid. Otherwise, the training pipeline will discard the input row from trainining data.
Returns
  • (::Boolean) — If invalid values is allowed, the training pipeline will create a boolean feature that indicated whether the value is valid. Otherwise, the training pipeline will discard the input row from trainining data.