| addRecommender(GCollaborativeFilter *pRecommender) | GClasses::GBagOfRecommenders | |
| areaUnderCurve(GMatrix &data) | GClasses::GCollaborativeFilter | static |
| baseDomNode(GDom *pDoc, const char *szClassName) const | GClasses::GCollaborativeFilter | protected |
| basicTest(double minMSE) | GClasses::GCollaborativeFilter | |
| clear() | GClasses::GBagOfRecommenders | |
| crossValidate(GMatrix &data, size_t folds, double *pOutMAE=NULL) | GClasses::GCollaborativeFilter | |
| filters() | GClasses::GBagOfRecommenders | inline |
| GBagOfRecommenders() | GClasses::GBagOfRecommenders | |
| GBagOfRecommenders(const GDomNode *pNode, GLearnerLoader &ll) | GClasses::GBagOfRecommenders | |
| GCollaborativeFilter() | GClasses::GCollaborativeFilter | |
| GCollaborativeFilter(const GDomNode *pNode, GLearnerLoader &ll) | GClasses::GCollaborativeFilter | |
| impute(GVec &vec, size_t dims) | GClasses::GBagOfRecommenders | virtual |
| m_filters | GClasses::GBagOfRecommenders | protected |
| m_itemCount | GClasses::GBagOfRecommenders | protected |
| m_rand | GClasses::GCollaborativeFilter | protected |
| precisionRecall(GMatrix &data, bool ideal=false) | GClasses::GCollaborativeFilter | |
| predict(size_t user, size_t item) | GClasses::GBagOfRecommenders | virtual |
| rand() | GClasses::GCollaborativeFilter | inline |
| serialize(GDom *pDoc) const | GClasses::GBagOfRecommenders | virtual |
| test() | GClasses::GBagOfRecommenders | static |
| train(GMatrix &data) | GClasses::GBagOfRecommenders | virtual |
| trainAndTest(GMatrix &train, GMatrix &test, double *pOutMAE=NULL) | GClasses::GCollaborativeFilter | |
| trainDenseMatrix(const GMatrix &data, const GMatrix *pLabels=NULL) | GClasses::GCollaborativeFilter | |
| ~GBagOfRecommenders() | GClasses::GBagOfRecommenders | virtual |
| ~GCollaborativeFilter() | GClasses::GCollaborativeFilter | inlinevirtual |