NumericalPredictionDriftMetric Struct

Reference

Definition

Namespace:: Azure.ResourceManager.MachineLearning.Models

Assembly:: Azure.ResourceManager.MachineLearning.dll

Package:: Azure.ResourceManager.MachineLearning v1.2.0-beta.3

Source:: NumericalPredictionDriftMetric.cs

Important

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The NumericalPredictionDriftMetric.

public readonly struct NumericalPredictionDriftMetric : IEquatable<Azure.ResourceManager.MachineLearning.Models.NumericalPredictionDriftMetric>

type NumericalPredictionDriftMetric = struct

Public Structure NumericalPredictionDriftMetric
Implements IEquatable(Of NumericalPredictionDriftMetric)

Inheritance: ValueType
NumericalPredictionDriftMetric

Implements: IEquatable<NumericalPredictionDriftMetric>

Constructors

NumericalPredictionDriftMetric(String)

Initializes a new instance of NumericalPredictionDriftMetric.

Properties

JensenShannonDistance	The Jensen Shannon Distance (JSD) metric.
NormalizedWassersteinDistance	The Normalized Wasserstein Distance metric.
PopulationStabilityIndex	The Population Stability Index (PSI) metric.
TwoSampleKolmogorovSmirnovTest	The Two Sample Kolmogorov-Smirnov Test (two-sample K–S) metric.

Methods

Equals(NumericalPredictionDriftMetric)	Indicates whether the current object is equal to another object of the same type.
ToString()	Returns the fully qualified type name of this instance.

Operators

Equality(NumericalPredictionDriftMetric, NumericalPredictionDriftMetric)	Determines if two NumericalPredictionDriftMetric values are the same.
Implicit(String to NumericalPredictionDriftMetric)	Converts a string to a NumericalPredictionDriftMetric.
Inequality(NumericalPredictionDriftMetric, NumericalPredictionDriftMetric)	Determines if two NumericalPredictionDriftMetric values are not the same.

Applies to

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