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LbfgsLogisticRegressionBinaryTrainer.Fit Méthode

Définition

Poursuit la formation d’un LbfgsLogisticRegressionBinaryTrainer utilisateur déjà formé modelParameters et retourne un BinaryPredictionTransformer<TModel>.

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

S’applique à