NormalizingTransformer.BinNormalizerModelParameters<TData> Class

Definition

Namespace:

Microsoft.ML.Transforms

Assembly:

Microsoft.ML.Data.dll

Package:

Microsoft.ML v3.0.1

The model parameters generated by buckettizing the data into bins with monotonically increasing UpperBounds. The Density value is constant from bin to bin, for most cases. ///

public sealed class NormalizingTransformer.BinNormalizerModelParameters<TData> : Microsoft.ML.Transforms.NormalizingTransformer.NormalizerModelParametersBase

type NormalizingTransformer.BinNormalizerModelParameters<'Data> = class
    inherit NormalizingTransformer.NormalizerModelParametersBase

Public NotInheritable Class NormalizingTransformer.BinNormalizerModelParameters(Of TData)
Inherits NormalizingTransformer.NormalizerModelParametersBase

Type Parameters

TData

Inheritance

Object

NormalizingTransformer.NormalizerModelParametersBase

NormalizingTransformer.BinNormalizerModelParameters<TData>

Properties

Density	The frequency of the datapoints per each bin.
Offset	If normalization is performed with Microsoft.ML.Transforms.NormalizeTransform.ControlZeroArgumentsBase.EnsureZeroUntouched set to true, the offset indicates the displacement of zero, if any.
UpperBounds	The standard deviation(s). In the scalar case, these are the bin upper bounds for that single value. In the vector case it is a jagged array of the bin upper bounds for all slots.