Cross-validation for rating prediction More...

Static Public Member Functions
static RatingPredictionEvaluationResults	DoCrossValidation (this RatingPredictor recommender, uint num_folds=5, bool compute_fit=false, bool show_fold_results=false)
	Evaluate on the folds of a dataset split More...

static RatingPredictionEvaluationResults	DoCrossValidation (this RatingPredictor recommender, ISplit< IRatings > split, bool compute_fit=false, bool show_fold_results=false)
	Evaluate on the folds of a dataset split More...

static void	DoIterativeCrossValidation (this RatingPredictor recommender, uint num_folds, uint max_iter, uint find_iter=1, bool show_fold_results=false)
	Evaluate an iterative recommender on the folds of a dataset split, display results on STDOUT More...

static void	DoIterativeCrossValidation (this RatingPredictor recommender, ISplit< IRatings > split, uint max_iter, uint find_iter=1, bool show_fold_results=false)
	Evaluate an iterative recommender on the folds of a dataset split, display results on STDOUT More...

Detailed Description

Cross-validation for rating prediction

Member Function Documentation

static RatingPredictionEvaluationResults DoCrossValidation	(	this RatingPredictor	recommender,
		uint	num_folds = `5`,
		bool	compute_fit = `false`,
		bool	show_fold_results = `false`
	)

inlinestatic

Evaluate on the folds of a dataset split

Parameters

recommender	a rating predictor
num_folds	the number of folds
compute_fit	if set to true measure fit on the training data as well
show_fold_results	if set to true to print per-fold results to STDERR

Returns: a dictionary containing the average results over the different folds of the split

static RatingPredictionEvaluationResults DoCrossValidation	(	this RatingPredictor	recommender,
		ISplit< IRatings >	split,
		bool	compute_fit = `false`,
		bool	show_fold_results = `false`
	)

inlinestatic

Evaluate on the folds of a dataset split

Parameters

recommender	a rating predictor
split	a rating dataset split
compute_fit	if set to true measure fit on the training data as well
show_fold_results	set to true to print per-fold results to STDERR

Returns: a dictionary containing the average results over the different folds of the split

static void DoIterativeCrossValidation	(	this RatingPredictor	recommender,
		uint	num_folds,
		uint	max_iter,
		uint	find_iter = `1`,
		bool	show_fold_results = `false`
	)

inlinestatic

Evaluate an iterative recommender on the folds of a dataset split, display results on STDOUT

Parameters

recommender	a rating predictor
num_folds	the number of folds
max_iter	the maximum number of iterations
find_iter	the report interval
show_fold_results	if set to true to print per-fold results to STDERR

static void DoIterativeCrossValidation	(	this RatingPredictor	recommender,
		ISplit< IRatings >	split,
		uint	max_iter,
		uint	find_iter = `1`,
		bool	show_fold_results = `false`
	)

inlinestatic

Evaluate an iterative recommender on the folds of a dataset split, display results on STDOUT

Parameters

recommender	a rating predictor
split	a rating dataset split
max_iter	the maximum number of iterations
find_iter	the report interval
show_fold_results	if set to true to print per-fold results to STDERR

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