FieldAwareFactorizationMachineTrainer.Fit 方法
定義
重要
部分資訊涉及發行前產品,在發行之前可能會有大幅修改。 Microsoft 對此處提供的資訊,不做任何明確或隱含的瑕疵擔保。
多載
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
- modelParameters
- FieldAwareFactorizationMachineModelParameters