共用方式為


FieldAwareFactorizationMachineTrainer.Fit 方法

定義

多載

Fit(IDataView)

定型並傳 FieldAwareFactorizationMachinePredictionTransformer 回 。

Fit(IDataView, IDataView, FieldAwareFactorizationMachineModelParameters)

繼續使用已定 modelParameters 型和/或驗證資料的定型 FieldAwareFactorizationMachineTrainer ,並傳 FieldAwareFactorizationMachinePredictionTransformer 回 。

Fit(IDataView)

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

參數

input
IDataView

傳回

實作

適用於

Fit(IDataView, IDataView, FieldAwareFactorizationMachineModelParameters)

繼續使用已定 modelParameters 型和/或驗證資料的定型 FieldAwareFactorizationMachineTrainer ,並傳 FieldAwareFactorizationMachinePredictionTransformer 回 。

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

參數

trainData
IDataView
validationData
IDataView

傳回

適用於