FoldIn Class Reference

Fold-in evaluation More...

Static Public Member Functions
static RatingPredictionEvaluationResults	EvaluateFoldIn (this IFoldInRatingPredictor recommender, IRatings update_data, IRatings eval_data)
	Performs user-wise fold-in evaluation More...
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 More...
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 More...

Detailed Description

Fold-in evaluation

Member Function Documentation

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

inlinestatic

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  )

inlinestatic

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  )

inlinestatic

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