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aGrUM
0.20.3
a C++ library for (probabilistic) graphical models
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This is the complete list of members for gum::learning::PseudoCount< ALLOC >, including all inherited members.
allocator_type typedef | gum::learning::PseudoCount< ALLOC > | |
apriori_ | gum::learning::PseudoCount< ALLOC > | protected |
clear() | gum::learning::PseudoCount< ALLOC > | virtual |
clearRanges() | gum::learning::PseudoCount< ALLOC > | |
counter_ | gum::learning::PseudoCount< ALLOC > | protected |
database() const | gum::learning::PseudoCount< ALLOC > | |
empty_ids_ | gum::learning::PseudoCount< ALLOC > | protected |
get(const std::vector< NodeId, ALLOC< NodeId > > &ids) | gum::learning::PseudoCount< ALLOC > | |
getAllocator() const | gum::learning::PseudoCount< ALLOC > | |
minNbRowsPerThread() const | gum::learning::PseudoCount< ALLOC > | virtual |
nbThreads() const | gum::learning::PseudoCount< ALLOC > | virtual |
nodeId2Columns() const | gum::learning::PseudoCount< ALLOC > | |
operator=(const PseudoCount< ALLOC > &from) | gum::learning::PseudoCount< ALLOC > | |
operator=(PseudoCount< ALLOC > &&from) | gum::learning::PseudoCount< ALLOC > | |
PseudoCount(const DBRowGeneratorParser< ALLOC > &parser, const Apriori< ALLOC > &external_apriori, const std::vector< std::pair< std::size_t, std::size_t >, ALLOC< std::pair< std::size_t, std::size_t > > > &ranges, const Bijection< NodeId, std::size_t, ALLOC< std::size_t > > &nodeId2columns=Bijection< NodeId, std::size_t, ALLOC< std::size_t > >(), const allocator_type &alloc=allocator_type()) | gum::learning::PseudoCount< ALLOC > | |
PseudoCount(const DBRowGeneratorParser< ALLOC > &parser, const Apriori< ALLOC > &external_apriori, const Bijection< NodeId, std::size_t, ALLOC< std::size_t > > &nodeId2columns=Bijection< NodeId, std::size_t, ALLOC< std::size_t > >(), const allocator_type &alloc=allocator_type()) | gum::learning::PseudoCount< ALLOC > | |
PseudoCount(const PseudoCount< ALLOC > &from) | gum::learning::PseudoCount< ALLOC > | |
PseudoCount(const PseudoCount< ALLOC > &from, const allocator_type &alloc) | gum::learning::PseudoCount< ALLOC > | |
PseudoCount(PseudoCount< ALLOC > &&from) | gum::learning::PseudoCount< ALLOC > | |
PseudoCount(PseudoCount< ALLOC > &&from, const allocator_type &alloc) | gum::learning::PseudoCount< ALLOC > | |
ranges() const | gum::learning::PseudoCount< ALLOC > | |
setMaxNbThreads(std::size_t nb) const | gum::learning::PseudoCount< ALLOC > | virtual |
setMinNbRowsPerThread(const std::size_t nb) const | gum::learning::PseudoCount< ALLOC > | virtual |
setRanges(const std::vector< std::pair< std::size_t, std::size_t >, XALLOC< std::pair< std::size_t, std::size_t > > > &new_ranges) | gum::learning::PseudoCount< ALLOC > | |
~PseudoCount() | gum::learning::PseudoCount< ALLOC > | virtual |