SdcaTrainerBase<TOptions,TTransformer,TModel> Class

Definition

public abstract class SdcaTrainerBase<TOptions,TTransformer,TModel> : Microsoft.ML.Trainers.StochasticTrainerBase<TTransformer,TModel> where TOptions : SdcaTrainerBase<TOptions,TTransformer,TModel>.OptionsBasenew() where TTransformer : ISingleFeaturePredictionTransformer<TModel> where TModel : class
type SdcaTrainerBase<'Options, 'ransformer, 'Model (requires 'Options :> SdcaTrainerBase<'Options, 'ransformer, 'Model>.OptionsBase and 'Options : (new : unit -> 'Options) and 'ransformer :> ISingleFeaturePredictionTransformer<'Model> and 'Model : null)> = class
    inherit StochasticTrainerBase<'ransformer, 'Model (requires 'ransformer :> ISingleFeaturePredictionTransformer<'Model> and 'Model : null)>
Public MustInherit Class SdcaTrainerBase(Of TOptions, TTransformer, TModel)
Inherits StochasticTrainerBase(Of TTransformer, TModel)

Type Parameters

TOptions
TTransformer
TModel
Inheritance
Derived

Fields

FeatureColumn

The feature column that the trainer expects.

(Inherited from TrainerEstimatorBase<TTransformer,TModel>)
LabelColumn

The label column that the trainer expects. Can be null, which indicates that label is not used for training.

(Inherited from TrainerEstimatorBase<TTransformer,TModel>)
WeightColumn

The weight column that the trainer expects. Can be null, which indicates that weight is not used for training.

(Inherited from TrainerEstimatorBase<TTransformer,TModel>)

Properties

Info (Inherited from StochasticTrainerBase<TTransformer,TModel>)

Methods

Fit(IDataView)

Trains and returns a ITransformer.

(Inherited from TrainerEstimatorBase<TTransformer,TModel>)
GetOutputSchema(SchemaShape) (Inherited from TrainerEstimatorBase<TTransformer,TModel>)

Extension Methods

WithOnFitDelegate<TTransformer>(IEstimator<TTransformer>, Action<TTransformer>)

Given an estimator, return a wrapping object that will call a delegate once Fit(IDataView) is called. It is often important for an estimator to return information about what was fit, which is why the Fit(IDataView) method returns a specifically typed object, rather than just a general ITransformer. However, at the same time, IEstimator<TTransformer> are often formed into pipelines with many objects, so we may need to build a chain of estimators via EstimatorChain<TLastTransformer> where the estimator for which we want to get the transformer is buried somewhere in this chain. For that scenario, we can through this method attach a delegate that will be called once fit is called.

Applies to