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TextAnalysisAuthoringModelFactory.SingleLabelClassificationEvalSummary Method

Definition

Initializes a new instance of SingleLabelClassificationEvalSummary.

public static Azure.AI.Language.Text.Authoring.SingleLabelClassificationEvalSummary SingleLabelClassificationEvalSummary(System.Collections.Generic.IReadOnlyDictionary<string,Azure.AI.Language.Text.Authoring.TextAuthoringConfusionMatrixRow> confusionMatrix = default, System.Collections.Generic.IReadOnlyDictionary<string,Azure.AI.Language.Text.Authoring.SingleLabelClassEvalSummary> classes = default, float microF1 = 0, float microPrecision = 0, float microRecall = 0, float macroF1 = 0, float macroPrecision = 0, float macroRecall = 0);
static member SingleLabelClassificationEvalSummary : System.Collections.Generic.IReadOnlyDictionary<string, Azure.AI.Language.Text.Authoring.TextAuthoringConfusionMatrixRow> * System.Collections.Generic.IReadOnlyDictionary<string, Azure.AI.Language.Text.Authoring.SingleLabelClassEvalSummary> * single * single * single * single * single * single -> Azure.AI.Language.Text.Authoring.SingleLabelClassificationEvalSummary
Public Shared Function SingleLabelClassificationEvalSummary (Optional confusionMatrix As IReadOnlyDictionary(Of String, TextAuthoringConfusionMatrixRow) = Nothing, Optional classes As IReadOnlyDictionary(Of String, SingleLabelClassEvalSummary) = Nothing, Optional microF1 As Single = 0, Optional microPrecision As Single = 0, Optional microRecall As Single = 0, Optional macroF1 As Single = 0, Optional macroPrecision As Single = 0, Optional macroRecall As Single = 0) As SingleLabelClassificationEvalSummary

Parameters

confusionMatrix
IReadOnlyDictionary<String,TextAuthoringConfusionMatrixRow>

Represents the confusion matrix between two classes (the two classes can be the same). The matrix is between the class that was labelled and the class that was predicted.

classes
IReadOnlyDictionary<String,SingleLabelClassEvalSummary>

Represents the classes evaluation.

microF1
Single

Represents the micro F1. Expected value is a float between 0 and 1 inclusive.

microPrecision
Single

Represents the micro precision. Expected value is a float between 0 and 1 inclusive.

microRecall
Single

Represents the micro recall. Expected value is a float between 0 and 1 inclusive.

macroF1
Single

Represents the macro F1. Expected value is a float between 0 and 1 inclusive.

macroPrecision
Single

Represents the macro precision. Expected value is a float between 0 and 1 inclusive.

macroRecall
Single

Represents the macro recall. Expected value is a float between 0 and 1 inclusive.

Returns

A new SingleLabelClassificationEvalSummary instance for mocking.

Applies to