TextAnalysisAuthoringModelFactory.MultiLabelClassificationEvalSummary Method
Definition
Important
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Initializes a new instance of MultiLabelClassificationEvalSummary.
public static Azure.AI.Language.Text.Authoring.MultiLabelClassificationEvalSummary MultiLabelClassificationEvalSummary(System.Collections.Generic.IReadOnlyDictionary<string,Azure.AI.Language.Text.Authoring.MultiLabelClassEvalSummary> classes = default, float microF1 = 0, float microPrecision = 0, float microRecall = 0, float macroF1 = 0, float macroPrecision = 0, float macroRecall = 0);
static member MultiLabelClassificationEvalSummary : System.Collections.Generic.IReadOnlyDictionary<string, Azure.AI.Language.Text.Authoring.MultiLabelClassEvalSummary> * single * single * single * single * single * single -> Azure.AI.Language.Text.Authoring.MultiLabelClassificationEvalSummary
Public Shared Function MultiLabelClassificationEvalSummary (Optional classes As IReadOnlyDictionary(Of String, MultiLabelClassEvalSummary) = 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 MultiLabelClassificationEvalSummary
Parameters
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 MultiLabelClassificationEvalSummary instance for mocking.