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aGrUM 3.1.1
a C++ library for (probabilistic) graphical models
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aGrUM 3.1.1
a C++ library for (probabilistic) graphical models
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This is the complete list of members for gum::learning::IndepTestG2, including all inherited members.
| _domain_sizes_ | gum::learning::IndependenceTest | protected |
| cache_ | gum::learning::CachedContingencyCounter | protected |
| CachedContingencyCounter(const DBRowGeneratorParser &parser, const Prior &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::CachedContingencyCounter | |
| CachedContingencyCounter(const DBRowGeneratorParser &parser, const Prior &prior, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >()) | gum::learning::CachedContingencyCounter | |
| CachedContingencyCounter(const CachedContingencyCounter &from) | gum::learning::CachedContingencyCounter | protected |
| CachedContingencyCounter(CachedContingencyCounter &&from) | gum::learning::CachedContingencyCounter | protected |
| clear() | gum::learning::CachedContingencyCounter | virtual |
| clearCache() | gum::learning::CachedContingencyCounter | virtual |
| clearRanges() | gum::learning::CachedContingencyCounter | |
| clone() const override | gum::learning::IndepTestG2 | virtual |
| computeStatistics_(const IdCondSet &idset, CellContribFn cellContrib) | gum::learning::IndependenceTest | protected |
| counter_ | gum::learning::CachedContingencyCounter | protected |
| database() const | gum::learning::CachedContingencyCounter | |
| degreesOfFreedom_(std::size_t X_size, std::size_t Y_size, std::size_t Z_size=1, std::size_t n_skipped=0) | gum::learning::IndependenceTest | protectedstatic |
| empty_ids_ | gum::learning::CachedContingencyCounter | protected |
| getNumberOfThreads() const override | gum::learning::CachedContingencyCounter | 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 |
| IndepTestG2(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::IndepTestG2 | |
| IndepTestG2(const DBRowGeneratorParser &parser, const Prior &prior, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >()) | gum::learning::IndepTestG2 | |
| IndepTestG2(const IndepTestG2 &from) | gum::learning::IndepTestG2 | |
| IndepTestG2(IndepTestG2 &&from) noexcept | gum::learning::IndepTestG2 | |
| isGumNumberOfThreadsOverriden() const override | gum::learning::CachedContingencyCounter | 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::CachedContingencyCounter | virtual |
| nodeId2Columns() const | gum::learning::CachedContingencyCounter | |
| one_log2_ | gum::learning::CachedContingencyCounter | protected |
| operator=(const IndepTestG2 &from) | gum::learning::IndepTestG2 | |
| operator=(IndepTestG2 &&from) noexcept | gum::learning::IndepTestG2 | |
| gum::learning::IndependenceTest::operator=(const IndependenceTest &from) | gum::learning::IndependenceTest | protected |
| gum::learning::IndependenceTest::operator=(IndependenceTest &&from) | gum::learning::IndependenceTest | protected |
| gum::learning::CachedContingencyCounter::operator=(const CachedContingencyCounter &from) | gum::learning::CachedContingencyCounter | protected |
| gum::learning::CachedContingencyCounter::operator=(CachedContingencyCounter &&from) | gum::learning::CachedContingencyCounter | protected |
| prior_ | gum::learning::CachedContingencyCounter | protected |
| ranges() const | gum::learning::CachedContingencyCounter | |
| setMinNbRowsPerThread(const std::size_t nb) const | gum::learning::CachedContingencyCounter | virtual |
| setNumberOfThreads(Size nb) override | gum::learning::CachedContingencyCounter | virtual |
| setRanges(const std::vector< std::pair< std::size_t, std::size_t > > &new_ranges) | gum::learning::CachedContingencyCounter | |
| statistics(NodeId var1, NodeId var2, const std::vector< NodeId > &rhs_ids={}) override | gum::learning::IndepTestG2 | virtual |
| statistics_(const IdCondSet &idset) | gum::learning::IndepTestG2 | protected |
| use_cache_ | gum::learning::CachedContingencyCounter | protected |
| useCache(const bool on_off) | gum::learning::CachedContingencyCounter | virtual |
| ~CachedContingencyCounter() | gum::learning::CachedContingencyCounter | virtual |
| ~IndependenceTest() override | gum::learning::IndependenceTest | |
| ~IndepTestG2() override | gum::learning::IndepTestG2 |