aGrUM 3.2.0
a C++ library for (probabilistic) graphical models
gum::learning::KNML Member List

This is the complete list of members for gum::learning::KNML, including all inherited members.

cache_gum::learning::CachedContingencyCounterprotected
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::CachedContingencyCounterprotected
CachedContingencyCounter(CachedContingencyCounter &&from)gum::learning::CachedContingencyCounterprotected
clear() overridegum::learning::KNMLvirtual
clearCache() overridegum::learning::KNMLvirtual
clearRanges()gum::learning::CachedContingencyCounter
clone() constgum::learning::KNMLvirtual
counter_gum::learning::CachedContingencyCounterprotected
database() constgum::learning::CachedContingencyCounter
empty_ids_gum::learning::CachedContingencyCounterprotected
getNumberOfThreads() const overridegum::learning::CachedContingencyCountervirtual
isGumNumberOfThreadsOverriden() const overridegum::learning::CachedContingencyCountervirtual
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() constgum::learning::CachedContingencyCountervirtual
nodeId2Columns() constgum::learning::CachedContingencyCounter
one_log2_gum::learning::CachedContingencyCounterprotected
operator=(const KNML &from)gum::learning::KNML
operator=(KNML &&from)gum::learning::KNML
gum::learning::CachedContingencyCounter::operator=(const CachedContingencyCounter &from)gum::learning::CachedContingencyCounterprotected
gum::learning::CachedContingencyCounter::operator=(CachedContingencyCounter &&from)gum::learning::CachedContingencyCounterprotected
prior_gum::learning::CachedContingencyCounterprotected
ranges() constgum::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) constgum::learning::CachedContingencyCountervirtual
setNumberOfThreads(Size nb) overridegum::learning::CachedContingencyCountervirtual
setRanges(const std::vector< std::pair< std::size_t, std::size_t > > &new_ranges)gum::learning::CachedContingencyCounter
use_cache_gum::learning::CachedContingencyCounterprotected
useCache(const bool on_off) overridegum::learning::KNMLvirtual
~CachedContingencyCounter()gum::learning::CachedContingencyCountervirtual
~KNML() overridegum::learning::KNML