| 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() override | gum::learning::KNML | virtual |
| clearCache() override | gum::learning::KNML | virtual |
| clearRanges() | gum::learning::CachedContingencyCounter | |
| clone() const | gum::learning::KNML | virtual |
| counter_ | gum::learning::CachedContingencyCounter | protected |
| database() const | gum::learning::CachedContingencyCounter | |
| empty_ids_ | gum::learning::CachedContingencyCounter | protected |
| getNumberOfThreads() const override | gum::learning::CachedContingencyCounter | virtual |
| isGumNumberOfThreadsOverriden() const override | gum::learning::CachedContingencyCounter | virtual |
| KNML(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::KNML | |
| KNML(const DBRowGeneratorParser &parser, const Prior &prior, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >()) | gum::learning::KNML | |
| KNML(const KNML &from) | gum::learning::KNML | |
| KNML(KNML &&from) | gum::learning::KNML | |
| minNbRowsPerThread() const | gum::learning::CachedContingencyCounter | virtual |
| nodeId2Columns() const | gum::learning::CachedContingencyCounter | |
| one_log2_ | gum::learning::CachedContingencyCounter | protected |
| operator=(const KNML &from) | gum::learning::KNML | |
| operator=(KNML &&from) | gum::learning::KNML | |
| 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 | |
| score(NodeId var1, NodeId var2) | gum::learning::KNML | |
| score(NodeId var1, NodeId var2, const std::vector< NodeId > &rhs_ids) | gum::learning::KNML | |
| 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 | |
| use_cache_ | gum::learning::CachedContingencyCounter | protected |
| useCache(const bool on_off) override | gum::learning::KNML | virtual |
| ~CachedContingencyCounter() | gum::learning::CachedContingencyCounter | virtual |
| ~KNML() override | gum::learning::KNML | |
