C# 클래스 MyMediaLite.Eval.ItemsFiltered

Evaluation class for filtered item recommendation
파일 보기 프로젝트 열기: zenogantner/MML-KDD

공개 메소드들

메소드 설명
Evaluate ( IItemRecommender recommender, IPosOnlyFeedback test, IPosOnlyFeedback train, SparseBooleanMatrix item_attributes, ICollection relevant_users, ICollection relevant_items ) : double>.Dictionary

Evaluation for rankings of filtered items
GetFilteredItems ( int user_id, IPosOnlyFeedback test, SparseBooleanMatrix item_attributes ) : ICollection>.Dictionary

For a given user and the test dataset, return a dictionary of items filtered by attributes

메소드 상세

Evaluate() 공개 정적인 메소드

Evaluation for rankings of filtered items
public static Evaluate ( IItemRecommender recommender, IPosOnlyFeedback test, IPosOnlyFeedback train, SparseBooleanMatrix item_attributes, ICollection relevant_users, ICollection relevant_items ) : double>.Dictionary
recommender IItemRecommender item recommender
test IPosOnlyFeedback test cases
train IPosOnlyFeedback training data
item_attributes MyMediaLite.DataType.SparseBooleanMatrix the item attributes to be used for filtering
relevant_users ICollection a collection of integers with all relevant users
relevant_items ICollection a collection of integers with all relevant items
리턴 double>.Dictionary

GetFilteredItems() 공개 정적인 메소드

For a given user and the test dataset, return a dictionary of items filtered by attributes
public static GetFilteredItems ( int user_id, IPosOnlyFeedback test, SparseBooleanMatrix item_attributes ) : ICollection>.Dictionary
user_id int the user ID
test IPosOnlyFeedback the test dataset
item_attributes MyMediaLite.DataType.SparseBooleanMatrix
리턴 ICollection>.Dictionary