Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::Schema::TrainingJob::Definition::AutoMlTablesInputs::Transformation::NumericTransformation (v0.20.0)

Version 0.20.0

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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.