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NormalizingTransformer.BinNormalizerModelParameters<TData> Class

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Definition

Namespace:
Microsoft.ML.Transforms
Assembly:
Microsoft.ML.Data.dll
Package:
Microsoft.ML v3.0.1
Package:
Microsoft.ML v1.0.0
Package:
Microsoft.ML v1.1.0
Package:
Microsoft.ML v1.2.0
Package:
Microsoft.ML v1.3.1
Package:
Microsoft.ML v1.4.0
Package:
Microsoft.ML v1.5.5
Package:
Microsoft.ML v1.6.0
Package:
Microsoft.ML v1.7.0
Package:
Microsoft.ML v2.0.0

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.

Applies to