, including all inherited members.
addRecommender(GCollaborativeFilter *pRecommender) | GClasses::GBagOfRecommenders | |
areaUnderCurve(GMatrix &data) | GClasses::GCollaborativeFilter | [static] |
baseDomNode(GDom *pDoc, const char *szClassName) | 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(GRand &rand) | GClasses::GBagOfRecommenders | |
GBagOfRecommenders(GDomNode *pNode, GLearnerLoader &ll) | GClasses::GBagOfRecommenders | |
GCollaborativeFilter(GRand &rand) | GClasses::GCollaborativeFilter | [inline] |
GCollaborativeFilter(GDomNode *pNode, GLearnerLoader &ll) | GClasses::GCollaborativeFilter | |
impute(double *pVec, 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] |
serialize(GDom *pDoc) | GClasses::GBagOfRecommenders | [virtual] |
test() | GClasses::GBagOfRecommenders | [static] |
train(GMatrix &data) | GClasses::GBagOfRecommenders | [virtual] |
trainAndTest(GMatrix &train, GMatrix &test, double *pOutMAE=NULL) | GClasses::GCollaborativeFilter | |
trainDenseMatrix(GMatrix &data, GMatrix *pLabels=NULL) | GClasses::GCollaborativeFilter | |
~GBagOfRecommenders() | GClasses::GBagOfRecommenders | [virtual] |
~GCollaborativeFilter() | GClasses::GCollaborativeFilter | [inline, virtual] |