TextAnalysisAuthoringModelFactory.SingleLabelClassificationEvalSummary Method
Definition
Important
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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.
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.