Vertex AI v1 API - Class AutoMlTablesInputs.Types.Transformation.Types.NumericTransformation (3.56.0)

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public sealed class AutoMlTablesInputs.Types.Transformation.Types.NumericTransformation : IMessage<AutoMlTablesInputs.Types.Transformation.Types.NumericTransformation>, IEquatable<AutoMlTablesInputs.Types.Transformation.Types.NumericTransformation>, IDeepCloneable<AutoMlTablesInputs.Types.Transformation.Types.NumericTransformation>, IBufferMessage, IMessage

Reference documentation and code samples for the Vertex AI v1 API class AutoMlTablesInputs.Types.Transformation.Types.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.

Inheritance

object > AutoMlTablesInputs.Types.Transformation.Types.NumericTransformation

Implements

IMessageAutoMlTablesInputsTypesTransformationTypesNumericTransformation, IEquatableAutoMlTablesInputsTypesTransformationTypesNumericTransformation, IDeepCloneableAutoMlTablesInputsTypesTransformationTypesNumericTransformation, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.ToString()

Namespace

Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

NumericTransformation()

public NumericTransformation()

NumericTransformation(NumericTransformation)

public NumericTransformation(AutoMlTablesInputs.Types.Transformation.Types.NumericTransformation other)

Parameter
Name	Description
other	AutoMlTablesInputsTypesTransformationTypesNumericTransformation

Properties

ColumnName

public string ColumnName { get; set; }

Property Value
Type	Description
string

InvalidValuesAllowed

public bool InvalidValuesAllowed { get; set; }

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.

Property Value
Type	Description
bool