FieldAwareFactorizationMachineTrainer.Options Class

Definition

Namespace:

Microsoft.ML.Trainers

Assembly:

Microsoft.ML.StandardTrainers.dll

Package:

Microsoft.ML v3.0.1

FieldAwareFactorizationMachineTrainer.Options for FieldAwareFactorizationMachineTrainer as used in FieldAwareFactorizationMachine(BinaryClassificationCatalog+BinaryClassificationTrainers, FieldAwareFactorizationMachineTrainer+Options).

public sealed class FieldAwareFactorizationMachineTrainer.Options : Microsoft.ML.Trainers.TrainerInputBaseWithWeight

type FieldAwareFactorizationMachineTrainer.Options = class
    inherit TrainerInputBaseWithWeight

Public NotInheritable Class FieldAwareFactorizationMachineTrainer.Options
Inherits TrainerInputBaseWithWeight

Inheritance

Object

TrainerInputBase

TrainerInputBaseWithLabel

TrainerInputBaseWithWeight

FieldAwareFactorizationMachineTrainer.Options

Constructors

FieldAwareFactorizationMachineTrainer.Options()

Fields

ExampleWeightColumnName	Column to use for example weight. (Inherited from TrainerInputBaseWithWeight)
ExtraFeatureColumns	Extra feature column names. The column named FeatureColumnName stores features from the first field. The i-th string in ExtraFeatureColumns stores the name of the (i+1)-th field's feature column.
FeatureColumnName	Column to use for features. (Inherited from TrainerInputBase)
LabelColumnName	Column to use for labels. (Inherited from TrainerInputBaseWithLabel)
LambdaLatent	Regularization coefficient of latent weights.
LambdaLinear	Regularization coefficient of linear weights.
LatentDimension	Latent space dimension.
LearningRate	Initial learning rate.
NormalizeFeatures	Whether to normalize the input vectors so that the concatenation of all fields' feature vectors is unit-length.
NumberOfIterations	Number of training iterations.
Radius	Radius of initial latent factors.
Shuffle	Whether to shuffle for each training iteration.
Verbose	Report traning progress or not.