SymbolicSgdLogisticRegressionBinaryTrainer.Fit Méthode

Définition

Espace de noms:

Microsoft.ML.Trainers

Assembly:

Microsoft.ML.Mkl.Components.dll

Paquet:

Microsoft.ML.Mkl.Components v3.0.1

Continue la formation d’utilisation d’un SymbolicSgdLogisticRegressionBinaryTrainer déjà formé modelParameters a Microsoft.ML.Data.BinaryPredictionTransformer.

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))

Paramètres

trainData

IDataView

modelParameters

LinearModelParameters

Retours

BinaryPredictionTransformer<CalibratedModelParametersBase<LinearBinaryModelParameters,PlattCalibrator>>