areaUnderCurve(GMatrix &data) | GClasses::GCollaborativeFilter | static |
baseDomNode(GDom *pDoc, const char *szClassName) const | GClasses::GCollaborativeFilter | protected |
basicTest(double minMSE) | GClasses::GCollaborativeFilter | |
clusterCount() | GClasses::GSparseClusterRecommender | inline |
crossValidate(GMatrix &data, size_t folds, double *pOutMAE=NULL) | GClasses::GCollaborativeFilter | |
GCollaborativeFilter() | GClasses::GCollaborativeFilter | |
GCollaborativeFilter(const GDomNode *pNode, GLearnerLoader &ll) | GClasses::GCollaborativeFilter | |
GSparseClusterRecommender(size_t clusters) | GClasses::GSparseClusterRecommender | |
impute(GVec &vec, size_t dims) | GClasses::GSparseClusterRecommender | virtual |
m_clusters | GClasses::GSparseClusterRecommender | protected |
m_items | GClasses::GSparseClusterRecommender | protected |
m_ownClusterer | GClasses::GSparseClusterRecommender | protected |
m_pClusterer | GClasses::GSparseClusterRecommender | protected |
m_pPredictions | GClasses::GSparseClusterRecommender | protected |
m_rand | GClasses::GCollaborativeFilter | protected |
m_users | GClasses::GSparseClusterRecommender | protected |
precisionRecall(GMatrix &data, bool ideal=false) | GClasses::GCollaborativeFilter | |
predict(size_t user, size_t item) | GClasses::GSparseClusterRecommender | virtual |
rand() | GClasses::GCollaborativeFilter | inline |
serialize(GDom *pDoc) const | GClasses::GSparseClusterRecommender | virtual |
setClusterer(GSparseClusterer *pClusterer, bool own) | GClasses::GSparseClusterRecommender | |
test() | GClasses::GSparseClusterRecommender | static |
train(GMatrix &data) | GClasses::GSparseClusterRecommender | virtual |
trainAndTest(GMatrix &train, GMatrix &test, double *pOutMAE=NULL) | GClasses::GCollaborativeFilter | |
trainDenseMatrix(const GMatrix &data, const GMatrix *pLabels=NULL) | GClasses::GCollaborativeFilter | |
~GCollaborativeFilter() | GClasses::GCollaborativeFilter | inlinevirtual |
~GSparseClusterRecommender() | GClasses::GSparseClusterRecommender | virtual |