Cross-validation for item recommendation More...

Static Public Member Functions
static ItemRecommendationEvaluationResults	DoCrossValidation (this IRecommender recommender, uint num_folds, IList< int > test_users, IList< int > candidate_items, CandidateItems candidate_item_mode=CandidateItems.OVERLAP, bool compute_fit=false, bool show_results=false)
	Evaluate on the folds of a dataset split More...

static ItemRecommendationEvaluationResults	DoCrossValidation (this IRecommender recommender, ISplit< IPosOnlyFeedback > split, IList< int > test_users, IList< int > candidate_items, CandidateItems candidate_item_mode=CandidateItems.OVERLAP, bool compute_fit=false, bool show_results=false)
	Evaluate on the folds of a dataset split More...

static void	DoIterativeCrossValidation (this IRecommender recommender, uint num_folds, IList< int > test_users, IList< int > candidate_items, CandidateItems candidate_item_mode, RepeatedEvents repeated_events, 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 IRecommender recommender, ISplit< IPosOnlyFeedback > split, IList< int > test_users, IList< int > candidate_items, CandidateItems candidate_item_mode, RepeatedEvents repeated_events, 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 item recommendation

Member Function Documentation

static ItemRecommendationEvaluationResults DoCrossValidation	(	this IRecommender	recommender,
		uint	num_folds,
		IList< int >	test_users,
		IList< int >	candidate_items,
		CandidateItems	candidate_item_mode = `CandidateItems.OVERLAP`,
		bool	compute_fit = `false`,
		bool	show_results = `false`
	)

inlinestatic

Evaluate on the folds of a dataset split

Parameters

recommender	an item recommender
num_folds	the number of folds
test_users	a collection of integers with all test users
candidate_items	a collection of integers with all candidate items
candidate_item_mode	the mode used to determine the candidate items
compute_fit	if set to true measure fit on the training data as well
show_results	set to true to print results to STDERR

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

static ItemRecommendationEvaluationResults DoCrossValidation	(	this IRecommender	recommender,
		ISplit< IPosOnlyFeedback >	split,
		IList< int >	test_users,
		IList< int >	candidate_items,
		CandidateItems	candidate_item_mode = `CandidateItems.OVERLAP`,
		bool	compute_fit = `false`,
		bool	show_results = `false`
	)

inlinestatic

Evaluate on the folds of a dataset split

Parameters

recommender	an item recommender
split	a dataset split
test_users	a collection of integers with all test users
candidate_items	a collection of integers with all candidate items
candidate_item_mode	the mode used to determine the candidate items
compute_fit	if set to true measure fit on the training data as well
show_results	set to true to print results to STDERR

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

static void DoIterativeCrossValidation	(	this IRecommender	recommender,
		uint	num_folds,
		IList< int >	test_users,
		IList< int >	candidate_items,
		CandidateItems	candidate_item_mode,
		RepeatedEvents	repeated_events,
		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	an item recommender
num_folds	the number of folds
test_users	a collection of integers with all test users
candidate_items	a collection of integers with all candidate items
candidate_item_mode	the mode used to determine the candidate items
repeated_events	allow repeated events in the evaluation (i.e. items accessed by a user before may be in the recommended list)
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 IRecommender	recommender,
		ISplit< IPosOnlyFeedback >	split,
		IList< int >	test_users,
		IList< int >	candidate_items,
		CandidateItems	candidate_item_mode,
		RepeatedEvents	repeated_events,
		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	an item recommender
split	a positive-only feedback dataset split
test_users	a collection of integers with all test users
candidate_items	a collection of integers with all candidate items
candidate_item_mode	the mode used to determine the candidate items
repeated_events	allow repeated events in the evaluation (i.e. items accessed by a user before may be in the recommended list)
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: