FoldIn Class Reference

Fold-in evaluation. More...

List of all members.

Static Public Member Functions
static RatingPredictionEvaluationResults	EvaluateFoldIn (this IFoldInRatingPredictor recommender, IRatings update_data, IRatings eval_data)
	Performs user-wise fold-in evaluation.
static RatingPredictionEvaluationResults	EvaluateFoldInCompleteRetraining (this RatingPredictor recommender, IRatings update_data, IRatings eval_data)
	Performs user-wise fold-in evaluation, but instead of folding in perform a complete re-training with the new data.
static RatingPredictionEvaluationResults	EvaluateFoldInIncrementalTraining (this IncrementalRatingPredictor recommender, IRatings update_data, IRatings eval_data)
	Performs user-wise fold-in evaluation, but instead of folding in perform incremental training with the new data.

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Detailed Description

Fold-in evaluation.

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Member Function Documentation

static RatingPredictionEvaluationResults EvaluateFoldIn	(	this IFoldInRatingPredictor	recommender,
		IRatings	update_data,
		IRatings	eval_data
	)		[inline, static]

Performs user-wise fold-in evaluation.

Returns:

the evaluation results

Parameters:

recommender	a rating predictor capable of performing a user fold-in
update_data	the rating data used to represent the users
eval_data	the evaluation data

static RatingPredictionEvaluationResults EvaluateFoldInCompleteRetraining	(	this RatingPredictor	recommender,
		IRatings	update_data,
		IRatings	eval_data
	)		[inline, static]

Performs user-wise fold-in evaluation, but instead of folding in perform a complete re-training with the new data.

This method can be quite slow.

Returns:

the evaluation results

Parameters:

recommender	a rating predictor capable of performing a user fold-in
update_data	the rating data used to represent the users
eval_data	the evaluation data

static RatingPredictionEvaluationResults EvaluateFoldInIncrementalTraining	(	this IncrementalRatingPredictor	recommender,
		IRatings	update_data,
		IRatings	eval_data
	)		[inline, static]

Performs user-wise fold-in evaluation, but instead of folding in perform incremental training with the new data.

Returns:

the evaluation results

Parameters:

recommender	a rating predictor capable of performing a user fold-in
update_data	the rating data used to represent the users
eval_data	the evaluation data

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The documentation for this class was generated from the following file:

• FoldIn.cs