ClassificationMultilabelPrimaryMetric Struct

Definition

Namespace:

Azure.ResourceManager.MachineLearning.Models

Assembly:

Azure.ResourceManager.MachineLearning.dll

Package:

Azure.ResourceManager.MachineLearning v1.2.1

Source:

ClassificationMultilabelPrimaryMetric.cs

Primary metrics for classification multilabel tasks.

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

type ClassificationMultilabelPrimaryMetric = struct

Public Structure ClassificationMultilabelPrimaryMetric
Implements IEquatable(Of ClassificationMultilabelPrimaryMetric)

Inheritance

ValueType

ClassificationMultilabelPrimaryMetric

Implements

IEquatable<ClassificationMultilabelPrimaryMetric>

Constructors

ClassificationMultilabelPrimaryMetric(String)

Initializes a new instance of ClassificationMultilabelPrimaryMetric.

Properties

Accuracy	Accuracy is the ratio of predictions that exactly match the true class labels.
AUCWeighted	AUC is the Area under the curve. This metric represents arithmetic mean of the score for each class, weighted by the number of true instances in each class.
AveragePrecisionScoreWeighted	The arithmetic mean of the average precision score for each class, weighted by the number of true instances in each class.
IOU	Intersection Over Union. Intersection of predictions divided by union of predictions.
NormMacroRecall	Normalized macro recall is recall macro-averaged and normalized, so that random performance has a score of 0, and perfect performance has a score of 1.
PrecisionScoreWeighted	The arithmetic mean of precision for each class, weighted by number of true instances in each class.

Methods

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