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FieldAwareFactorizationMachineTrainer.Fit Metoda

Definice

Přetížení

Fit(IDataView)

Vlaky a vrací hodnotu FieldAwareFactorizationMachinePredictionTransformer.

Fit(IDataView, IDataView, FieldAwareFactorizationMachineModelParameters)

Pokračuje v trénování FieldAwareFactorizationMachineTrainer pomocí již natrénovaných modelParameters a/nebo ověřovacích dat a vrátí FieldAwareFactorizationMachinePredictionTransformerhodnotu .

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

Parametry

input
IDataView

Návraty

Implementuje

Platí pro

Fit(IDataView, IDataView, FieldAwareFactorizationMachineModelParameters)

Pokračuje v trénování FieldAwareFactorizationMachineTrainer pomocí již natrénovaných modelParameters a/nebo ověřovacích dat a vrátí FieldAwareFactorizationMachinePredictionTransformerhodnotu .

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

Parametry

trainData
IDataView
validationData
IDataView

Návraty

Platí pro