Class AutoMlTablesInputs.Types.Transformation.Types.NumericTransformation (1.0.0)

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

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

IMessage<AutoMlTablesInputs.Types.Transformation.Types.NumericTransformation>, IEquatable<AutoMlTablesInputs.Types.Transformation.Types.NumericTransformation>, IDeepCloneable<AutoMlTablesInputs.Types.Transformation.Types.NumericTransformation>, IBufferMessage, IMessage

Inherited Members

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ToString()

Namespace

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

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

NumericTransformation()

public NumericTransformation()

NumericTransformation(AutoMlTablesInputs.Types.Transformation.Types.NumericTransformation)

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

Parameter
Name	Description
`other`	`AutoMlTablesInputs.Types.Transformation.Types.NumericTransformation`

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
`Boolean`