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FieldAwareFactorizationMachineTrainer.Fit 메서드

정의

오버로드

Fit(IDataView)

를 학습하고 반환합니다 FieldAwareFactorizationMachinePredictionTransformer.

Fit(IDataView, IDataView, FieldAwareFactorizationMachineModelParameters)

이미 학습된 및/또는 유효성 검사 데이터를 FieldAwareFactorizationMachinePredictionTransformer사용하여 학습 FieldAwareFactorizationMachineTrainermodelParameters 계속하고 .

Fit(IDataView)

를 학습하고 반환합니다 FieldAwareFactorizationMachinePredictionTransformer.

public Microsoft.ML.Trainers.FieldAwareFactorizationMachinePredictionTransformer Fit (Microsoft.ML.IDataView input);
abstract member Fit : Microsoft.ML.IDataView -> Microsoft.ML.Trainers.FieldAwareFactorizationMachinePredictionTransformer
override this.Fit : Microsoft.ML.IDataView -> Microsoft.ML.Trainers.FieldAwareFactorizationMachinePredictionTransformer
Public Function Fit (input As IDataView) As FieldAwareFactorizationMachinePredictionTransformer

매개 변수

input
IDataView

반환

구현

적용 대상

Fit(IDataView, IDataView, FieldAwareFactorizationMachineModelParameters)

이미 학습된 및/또는 유효성 검사 데이터를 FieldAwareFactorizationMachinePredictionTransformer사용하여 학습 FieldAwareFactorizationMachineTrainermodelParameters 계속하고 .

public Microsoft.ML.Trainers.FieldAwareFactorizationMachinePredictionTransformer Fit (Microsoft.ML.IDataView trainData, Microsoft.ML.IDataView validationData = default, Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters modelParameters = default);
member this.Fit : Microsoft.ML.IDataView * Microsoft.ML.IDataView * Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters -> Microsoft.ML.Trainers.FieldAwareFactorizationMachinePredictionTransformer
Public Function Fit (trainData As IDataView, Optional validationData As IDataView = Nothing, Optional modelParameters As FieldAwareFactorizationMachineModelParameters = Nothing) As FieldAwareFactorizationMachinePredictionTransformer

매개 변수

trainData
IDataView
validationData
IDataView

반환

적용 대상