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SymbolicSgdLogisticRegressionBinaryTrainer.Fit Método

Definição

Continua o treinamento de SymbolicSgdLogisticRegressionBinaryTrainer usar um .modelParametersMicrosoft.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))

Parâmetros

trainData
IDataView
modelParameters
LinearModelParameters

Retornos

Aplica-se a