aGrUM  0.13.3
gum::learning::ScoreAIC< IdSetAlloc, CountAlloc > Member List

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

_1log2gum::learning::Score< IdSetAlloc, CountAlloc >protected
__internal_apriorigum::learning::ScoreAIC< IdSetAlloc, CountAlloc >private
_apriorigum::learning::Score< IdSetAlloc, CountAlloc >protected
_cachedScore(Idx nodeset_index) const noexceptgum::learning::Score< IdSetAlloc, CountAlloc >protected
_getAllApriori(Idx index)gum::learning::Score< IdSetAlloc, CountAlloc >protected
_getConditioningApriori(Idx index)gum::learning::Score< IdSetAlloc, CountAlloc >protected
_insertIntoCache(Idx nodeset_index, double score)gum::learning::Score< IdSetAlloc, CountAlloc >protected
_isInCache(Idx nodeset_index) const noexceptgum::learning::Score< IdSetAlloc, CountAlloc >protected
_isUsingCache() const noexceptgum::learning::Score< IdSetAlloc, CountAlloc >protected
addNodeSet(Idx var)gum::learning::Score< IdSetAlloc, CountAlloc >
addNodeSet(Idx var, const std::vector< Idx > &conditioning_ids)gum::learning::Score< IdSetAlloc, CountAlloc >
clear()gum::learning::Score< IdSetAlloc, CountAlloc >
clearCache()gum::learning::Score< IdSetAlloc, CountAlloc >
copyFactory() constgum::learning::ScoreAIC< IdSetAlloc, CountAlloc >virtual
internalApriori() const noexcept finalgum::learning::ScoreAIC< IdSetAlloc, CountAlloc >virtual
isAprioriCompatible() const finalgum::learning::ScoreAIC< IdSetAlloc, CountAlloc >virtual
isAprioriCompatible(const std::string &apriori_type, double weight=1.0f)gum::learning::ScoreAIC< IdSetAlloc, CountAlloc >static
isAprioriCompatible(const Apriori< IdSetAlloc, CountAlloc > &apriori)gum::learning::ScoreAIC< IdSetAlloc, CountAlloc >static
Score(const RowFilter &filter, const std::vector< Size > &var_modalities, Apriori< IdSetAlloc, CountAlloc > &apriori, Size min_range=0, Size max_range=std::numeric_limits< Size >::max())gum::learning::Score< IdSetAlloc, CountAlloc >
Score(const Score< IdSetAlloc, CountAlloc > &)gum::learning::Score< IdSetAlloc, CountAlloc >protected
Score(Score< IdSetAlloc, CountAlloc > &&)gum::learning::Score< IdSetAlloc, CountAlloc >protected
score(Idx nodeset_index) finalgum::learning::ScoreAIC< IdSetAlloc, CountAlloc >virtual
ScoreAIC(const RowFilter &filter, const std::vector< Size > &var_modalities, Apriori< IdSetAlloc, CountAlloc > &apriori, Size min_range=0, Size max_range=std::numeric_limits< Size >::max())gum::learning::ScoreAIC< IdSetAlloc, CountAlloc >
ScoreAIC(const ScoreAIC< IdSetAlloc, CountAlloc > &)gum::learning::ScoreAIC< IdSetAlloc, CountAlloc >
ScoreAIC(ScoreAIC< IdSetAlloc, CountAlloc > &&)gum::learning::ScoreAIC< IdSetAlloc, CountAlloc >
setRange(Size min_range, Size max_range)gum::learning::Score< IdSetAlloc, CountAlloc >
useCache(bool on_off) noexceptgum::learning::Score< IdSetAlloc, CountAlloc >
~Score()gum::learning::Score< IdSetAlloc, CountAlloc >virtual
~ScoreAIC()gum::learning::ScoreAIC< IdSetAlloc, CountAlloc >virtual