MyMediaLite  3.09
Static Public Member Functions
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.

Detailed Description

Fold-in evaluation.


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:
recommendera rating predictor capable of performing a user fold-in
update_datathe rating data used to represent the users
eval_datathe 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:
recommendera rating predictor capable of performing a user fold-in
update_datathe rating data used to represent the users
eval_datathe 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:
recommendera rating predictor capable of performing a user fold-in
update_datathe rating data used to represent the users
eval_datathe evaluation data

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