aGrUM  0.13.2
gum::learning::PartialEntropy< IdSetAlloc, CountAlloc > Member List

This is the complete list of members for gum::learning::PartialEntropy< IdSetAlloc, CountAlloc >, including all inherited members.

_1log2gum::learning::PartialEntropy< IdSetAlloc, CountAlloc >protected
__cachegum::learning::PartialEntropy< IdSetAlloc, CountAlloc >private
__cached_scoregum::learning::PartialEntropy< IdSetAlloc, CountAlloc >private
__empty_conditioning_setgum::learning::PartialEntropy< IdSetAlloc, CountAlloc >private
__is_cached_scoregum::learning::PartialEntropy< IdSetAlloc, CountAlloc >private
__Ngum::learning::PartialEntropy< IdSetAlloc, CountAlloc >private
__use_cachegum::learning::PartialEntropy< IdSetAlloc, CountAlloc >private
_cachedScore(Idx nodeset_index) const noexceptgum::learning::PartialEntropy< IdSetAlloc, CountAlloc >protected
_conditioning_nodesetsgum::learning::Counter< IdSetAlloc, CountAlloc >protected
_count()gum::learning::Counter< IdSetAlloc, CountAlloc >protected
_counts_computedgum::learning::Counter< IdSetAlloc, CountAlloc >protected
_getAllCounts(Idx index)gum::learning::Counter< IdSetAlloc, CountAlloc >protected
_getAllNodes(Idx index) const noexceptgum::learning::Counter< IdSetAlloc, CountAlloc >protected
_getAllNodes() const noexceptgum::learning::Counter< IdSetAlloc, CountAlloc >protected
_getConditioningCounts(Idx index)gum::learning::Counter< IdSetAlloc, CountAlloc >protected
_getConditioningNodes(Idx index) const noexceptgum::learning::Counter< IdSetAlloc, CountAlloc >protected
_getConditioningNodes() const noexceptgum::learning::Counter< IdSetAlloc, CountAlloc >protected
_getCounts() noexceptgum::learning::Counter< IdSetAlloc, CountAlloc >protected
_insertIntoCache(Idx nodeset_index, double score)gum::learning::PartialEntropy< IdSetAlloc, CountAlloc >protected
_isInCache(Idx nodeset_index) const noexceptgum::learning::PartialEntropy< IdSetAlloc, CountAlloc >protected
_isUsingCache() const noexceptgum::learning::PartialEntropy< IdSetAlloc, CountAlloc >protected
_modalitiesgum::learning::Counter< IdSetAlloc, CountAlloc >protected
_record_countergum::learning::Counter< IdSetAlloc, CountAlloc >protected
_target_nodesetsgum::learning::Counter< IdSetAlloc, CountAlloc >protected
addEmptyNodeSet()gum::learning::Counter< IdSetAlloc, CountAlloc >
addNodeSet(const std::vector< Idx > &var_set)gum::learning::PartialEntropy< IdSetAlloc, CountAlloc >
addNodeSet(Idx var)gum::learning::PartialEntropy< IdSetAlloc, CountAlloc >
addNodeSet(Idx var1, Idx var2)gum::learning::PartialEntropy< IdSetAlloc, CountAlloc >
gum::learning::Counter::addNodeSet(const std::pair< Idx, Idx > &vars)gum::learning::Counter< IdSetAlloc, CountAlloc >
gum::learning::Counter::addNodeSet(Idx var, const std::vector< Idx > &conditioning_ids)gum::learning::Counter< IdSetAlloc, CountAlloc >
gum::learning::Counter::addNodeSet(Idx var, std::vector< Idx > &&conditioning_ids)gum::learning::Counter< IdSetAlloc, CountAlloc >
gum::learning::Counter::addNodeSet(Idx var1, Idx var2, const std::vector< Idx > &conditioning_ids)gum::learning::Counter< IdSetAlloc, CountAlloc >
gum::learning::Counter::addNodeSet(Idx var1, Idx var2, std::vector< Idx > &&conditioning_ids)gum::learning::Counter< IdSetAlloc, CountAlloc >
gum::learning::Counter::addNodeSet(const std::pair< Idx, Idx > &vars, const std::vector< Idx > &conditioning_ids)gum::learning::Counter< IdSetAlloc, CountAlloc >
gum::learning::Counter::addNodeSet(const std::pair< Idx, Idx > &vars, std::vector< Idx > &&conditioning_ids)gum::learning::Counter< IdSetAlloc, CountAlloc >
clear()gum::learning::PartialEntropy< IdSetAlloc, CountAlloc >
clearCache()gum::learning::PartialEntropy< IdSetAlloc, CountAlloc >
Counter(const RowFilter &filter, const std::vector< Size > &var_modalities, Size min_range=0, Size max_range=std::numeric_limits< Size >::max())gum::learning::Counter< IdSetAlloc, CountAlloc >
Counter(const Counter< IdSetAlloc, CountAlloc > &)gum::learning::Counter< IdSetAlloc, CountAlloc >
Counter(Counter< IdSetAlloc, CountAlloc > &&)gum::learning::Counter< IdSetAlloc, CountAlloc >
modalities() const noexceptgum::learning::Counter< IdSetAlloc, CountAlloc >
N()gum::learning::PartialEntropy< IdSetAlloc, CountAlloc >
operator=(const Counter< IdSetAlloc, CountAlloc > &)=deletegum::learning::Counter< IdSetAlloc, CountAlloc >protected
PartialEntropy(const RowFilter &filter, const std::vector< Size > &var_modalities, Size min_range=0, Size max_range=std::numeric_limits< Size >::max())gum::learning::PartialEntropy< IdSetAlloc, CountAlloc >
score(Idx nodeset_index)gum::learning::PartialEntropy< IdSetAlloc, CountAlloc >
setMaxNbThreads(Size nb) noexceptgum::learning::Counter< IdSetAlloc, CountAlloc >
setRange(Size min_range, Size max_range)gum::learning::PartialEntropy< IdSetAlloc, CountAlloc >
useCache(bool on_off) noexceptgum::learning::PartialEntropy< IdSetAlloc, CountAlloc >
~Counter()gum::learning::Counter< IdSetAlloc, CountAlloc >virtual
~PartialEntropy()gum::learning::PartialEntropy< IdSetAlloc, CountAlloc >