| cache_ | gum::learning::IndependenceTest | protected |
| clear() | gum::learning::IndependenceTest | virtual |
| clearCache() | gum::learning::IndependenceTest | virtual |
| clearRanges() | gum::learning::IndependenceTest | |
| clone() const =0 | gum::learning::IndependenceTest | pure virtual |
| counter_ | gum::learning::IndependenceTest | protected |
| database() const | gum::learning::IndependenceTest | |
| empty_ids_ | gum::learning::IndependenceTest | protected |
| getNumberOfThreads() const | gum::learning::IndependenceTest | virtual |
| IndependenceTest(const DBRowGeneratorParser &parser, const Prior &external_prior, const std::vector< std::pair< std::size_t, std::size_t > > &ranges, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >()) | gum::learning::IndependenceTest | |
| IndependenceTest(const DBRowGeneratorParser &parser, const Prior &external_prior, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >()) | gum::learning::IndependenceTest | |
| IndependenceTest(const IndependenceTest &from) | gum::learning::IndependenceTest | protected |
| IndependenceTest(IndependenceTest &&from) | gum::learning::IndependenceTest | protected |
| isGumNumberOfThreadsOverriden() const | gum::learning::IndependenceTest | virtual |
| marginalize_(const std::size_t node_2_marginalize, const std::size_t X_size, const std::size_t Y_size, const std::size_t Z_size, const std::vector< double > &N_xyz) const | gum::learning::IndependenceTest | protected |
| minNbRowsPerThread() const | gum::learning::IndependenceTest | virtual |
| nodeId2Columns() const | gum::learning::IndependenceTest | |
| one_log2_ | gum::learning::IndependenceTest | protected |
| operator=(const IndependenceTest &from) | gum::learning::IndependenceTest | protected |
| operator=(IndependenceTest &&from) | gum::learning::IndependenceTest | protected |
| prior_ | gum::learning::IndependenceTest | protected |
| ranges() const | gum::learning::IndependenceTest | |
| score(const NodeId var1, const NodeId var2) | gum::learning::IndependenceTest | |
| score(const NodeId var1, const NodeId var2, const std::vector< NodeId > &rhs_ids) | gum::learning::IndependenceTest | |
| score_(const IdCondSet &idset)=0 | gum::learning::IndependenceTest | protectedpure virtual |
| setMinNbRowsPerThread(const std::size_t nb) const | gum::learning::IndependenceTest | virtual |
| setNumberOfThreads(Size nb) | gum::learning::IndependenceTest | virtual |
| setRanges(const std::vector< std::pair< std::size_t, std::size_t > > &new_ranges) | gum::learning::IndependenceTest | |
| use_cache_ | gum::learning::IndependenceTest | protected |
| useCache(const bool on_off) | gum::learning::IndependenceTest | virtual |
| ~IndependenceTest() | gum::learning::IndependenceTest | virtual |
