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 |