SymbolicSgdLogisticRegressionBinaryTrainer.Fit メソッド

定義

名前空間:

Microsoft.ML.Trainers

アセンブリ:

Microsoft.ML.Mkl.Components.dll

パッケージ:

Microsoft.ML.Mkl.Components v3.0.1

既にトレーニングされているを使用してのSymbolicSgdLogisticRegressionBinaryTrainerトレーニングmodelParametersを続行します。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))

パラメーター

trainData

IDataView

modelParameters

LinearModelParameters

戻り値

BinaryPredictionTransformer<CalibratedModelParametersBase<LinearBinaryModelParameters,PlattCalibrator>>