, including all inherited members.
areaUnderCurve(GMatrix &data) | GClasses::GCollaborativeFilter | [static] |
baseDomNode(GDom *pDoc, const char *szClassName) | GClasses::GCollaborativeFilter | [protected] |
basicTest(double minMSE) | GClasses::GCollaborativeFilter | |
clusterCount() | GClasses::GSparseClusterRecommender | [inline] |
crossValidate(GMatrix &data, size_t folds, double *pOutMAE=NULL) | GClasses::GCollaborativeFilter | |
GCollaborativeFilter(GRand &rand) | GClasses::GCollaborativeFilter | [inline] |
GCollaborativeFilter(GDomNode *pNode, GLearnerLoader &ll) | GClasses::GCollaborativeFilter | |
GSparseClusterRecommender(size_t clusters, GRand &rand) | GClasses::GSparseClusterRecommender | |
impute(double *pVec, 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] |
serialize(GDom *pDoc) | 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(GMatrix &data, GMatrix *pLabels=NULL) | GClasses::GCollaborativeFilter | |
~GCollaborativeFilter() | GClasses::GCollaborativeFilter | [inline, virtual] |
~GSparseClusterRecommender() | GClasses::GSparseClusterRecommender | [virtual] |