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SymbolicSgdLogisticRegressionBinaryTrainer.Fit Methode

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Definition

Namespace:
Microsoft.ML.Trainers
Assembly:
Microsoft.ML.Mkl.Components.dll
Paket:
Microsoft.ML.Mkl.Components v3.0.1
Paket:
Microsoft.ML.Mkl.Components v1.0.0
Paket:
Microsoft.ML.Mkl.Components v1.1.0
Paket:
Microsoft.ML.Mkl.Components v1.2.0
Paket:
Microsoft.ML.Mkl.Components v1.3.1
Paket:
Microsoft.ML.Mkl.Components v1.4.0
Paket:
Microsoft.ML.Mkl.Components v1.5.5
Paket:
Microsoft.ML.Mkl.Components v1.6.0
Paket:
Microsoft.ML.Mkl.Components v1.7.0
Paket:
Microsoft.ML.Mkl.Components v2.0.0

Führt die Schulung der SymbolicSgdLogisticRegressionBinaryTrainer Bereits ausgebildeten modelParameters Ein- und Weiterarbeit weiter Microsoft.ML.Data.BinaryPredictionTransformeraus.

public Microsoft.ML.Data.BinaryPredictionTransformer<Microsoft.ML.Calibrators.CalibratedModelParametersBase<Microsoft.ML.Trainers.LinearBinaryModelParameters,Microsoft.ML.Calibrators.PlattCalibrator>> Fit (Microsoft.ML.IDataView trainData, Microsoft.ML.Trainers.LinearModelParameters modelParameters);
override this.Fit : Microsoft.ML.IDataView * Microsoft.ML.Trainers.LinearModelParameters -> Microsoft.ML.Data.BinaryPredictionTransformer<Microsoft.ML.Calibrators.CalibratedModelParametersBase<Microsoft.ML.Trainers.LinearBinaryModelParameters, Microsoft.ML.Calibrators.PlattCalibrator>>
Public Function Fit (trainData As IDataView, modelParameters As LinearModelParameters) As BinaryPredictionTransformer(Of CalibratedModelParametersBase(Of LinearBinaryModelParameters, PlattCalibrator))

Parameter

trainData
IDataView
modelParameters
LinearModelParameters

Gibt zurück

BinaryPredictionTransformer<CalibratedModelParametersBase<LinearBinaryModelParameters,PlattCalibrator>>

Gilt für: