NumericalDataDriftMetric Struct

Definition

Namespace:

Azure.ResourceManager.MachineLearning.Models

Assembly:

Azure.ResourceManager.MachineLearning.dll

Package:

Azure.ResourceManager.MachineLearning v1.2.1

Source:

NumericalDataDriftMetric.cs

The NumericalDataDriftMetric.

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

type NumericalDataDriftMetric = struct

Public Structure NumericalDataDriftMetric
Implements IEquatable(Of NumericalDataDriftMetric)

Inheritance

ValueType

NumericalDataDriftMetric

Implements

IEquatable<NumericalDataDriftMetric>

Constructors

NumericalDataDriftMetric(String)

Initializes a new instance of NumericalDataDriftMetric.

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