 |
aGrUM
0.20.3
a C++ library for (probabilistic) graphical models
|
|
aGrUM
0.20.3
a C++ library for (probabilistic) graphical models
|
This is the complete list of members for gum::learning::RecordCounter< ALLOC >, including all inherited members.
| allocator_type typedef | gum::learning::RecordCounter< ALLOC > | |
| clear() | gum::learning::RecordCounter< ALLOC > | |
| clearRanges() | gum::learning::RecordCounter< ALLOC > | |
| clone() const | gum::learning::RecordCounter< ALLOC > | virtual |
| clone(const allocator_type &alloc) const | gum::learning::RecordCounter< ALLOC > | virtual |
| counts(const IdCondSet< ALLOC > &ids, const bool check_discrete_vars=false) | gum::learning::RecordCounter< ALLOC > | |
| database() const | gum::learning::RecordCounter< ALLOC > | |
| getAllocator() const | gum::learning::RecordCounter< ALLOC > | |
| minNbRowsPerThread() const | gum::learning::RecordCounter< ALLOC > | |
| nbThreads() const | gum::learning::RecordCounter< ALLOC > | |
| nodeId2Columns() const | gum::learning::RecordCounter< ALLOC > | |
| operator=(const RecordCounter< ALLOC > &from) | gum::learning::RecordCounter< ALLOC > | |
| operator=(RecordCounter< ALLOC > &&from) | gum::learning::RecordCounter< ALLOC > | |
| ranges() const | gum::learning::RecordCounter< ALLOC > | |
| RecordCounter(const DBRowGeneratorParser< ALLOC > &parser, 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::RecordCounter< ALLOC > | |
| RecordCounter(const DBRowGeneratorParser< ALLOC > &parser, 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::RecordCounter< ALLOC > | |
| RecordCounter(const RecordCounter< ALLOC > &from) | gum::learning::RecordCounter< ALLOC > | |
| RecordCounter(const RecordCounter< ALLOC > &from, const allocator_type &alloc) | gum::learning::RecordCounter< ALLOC > | |
| RecordCounter(RecordCounter< ALLOC > &&from) | gum::learning::RecordCounter< ALLOC > | |
| RecordCounter(RecordCounter< ALLOC > &&from, const allocator_type &alloc) | gum::learning::RecordCounter< ALLOC > | |
| setBayesNet(const BayesNet< GUM_SCALAR > &new_bn) | gum::learning::RecordCounter< ALLOC > | |
| setMaxNbThreads(const std::size_t nb) const | gum::learning::RecordCounter< ALLOC > | |
| setMinNbRowsPerThread(const std::size_t nb) const | gum::learning::RecordCounter< ALLOC > | |
| 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::RecordCounter< ALLOC > | |
| ~RecordCounter() | gum::learning::RecordCounter< ALLOC > | virtual |