| allocator_type typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| begin() const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| beginSafe() const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| clear() | gum::learning::IDatabaseTable< T_DATA, ALLOC > | virtual |
| clone() const =0 | gum::learning::IDatabaseTable< T_DATA, ALLOC > | pure virtual |
| clone(const allocator_type &alloc) const =0 | gum::learning::IDatabaseTable< T_DATA, ALLOC > | pure virtual |
| columnFromVariableName(const std::string &name) const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| columnsFromVariableName(const std::string &name) const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| const_iterator typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| const_iterator_safe typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| const_pointer typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| const_reference typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| content() const noexcept | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| DBVector typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| difference_type typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| empty() const noexcept | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| end() const noexcept | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| endSafe() const noexcept | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| eraseAllRows() | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| eraseFirstRow() | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| eraseFirstRows(const std::size_t k) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| eraseLastRow() | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| eraseLastRows(const std::size_t k) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| eraseRow(std::size_t index) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| eraseRows(std::size_t deb, std::size_t end) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| False enum value | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| getAllocator() const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| handler() const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| Handler class | gum::learning::IDatabaseTable< T_DATA, ALLOC > | friend |
| handlerSafe() const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| HandlerSafe class | gum::learning::IDatabaseTable< T_DATA, ALLOC > | friend |
| has_row_missing_val_ | gum::learning::IDatabaseTable< T_DATA, ALLOC > | protected |
| hasMissingValues() const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| hasMissingValues(const std::size_t k) const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| IDatabaseTable(const MissingValType< MISSALLOC > &missing_symbols, const std::vector< std::string, VARALLOC< std::string > > &var_names, const ALLOC< T_DATA > &alloc) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| IDatabaseTable(const IDatabaseTable< T_DATA, ALLOC > &from) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| IDatabaseTable(const IDatabaseTable< T_DATA, ALLOC > &from, const allocator_type &alloc) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| IDatabaseTable(IDatabaseTable< T_DATA, ALLOC > &&from) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| IDatabaseTable(IDatabaseTable< T_DATA, ALLOC > &&from, const allocator_type &alloc) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| ignoreColumn(const std::size_t k, const bool from_external_object=true)=0 | gum::learning::IDatabaseTable< T_DATA, ALLOC > | pure virtual |
| ignoredColumns() const =0 | gum::learning::IDatabaseTable< T_DATA, ALLOC > | pure virtual |
| inputColumns() const =0 | gum::learning::IDatabaseTable< T_DATA, ALLOC > | pure virtual |
| insertRow(const std::vector< std::string, OTHER_ALLOC< std::string > > &new_row) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| insertRow(Row< T_DATA > &&new_row, const IsMissing contains_missing_data) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | virtual |
| insertRow(const Row< T_DATA > &new_row, const IsMissing contains_missing_data) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | virtual |
| insertRows(Matrix< T_DATA > &&new_rows, const DBVector< IsMissing > &rows_have_missing_vals) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | virtual |
| insertRows(const Matrix< T_DATA > &new_rows, const DBVector< IsMissing > &rows_have_missing_vals) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | virtual |
| IsMissing enum name | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| isRowSizeOK_(const std::size_t size) const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | protected |
| iterator typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| iterator_safe typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| Matrix typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| max_nb_threads_ | gum::learning::IDatabaseTable< T_DATA, ALLOC > | mutableprotected |
| min_nb_rows_per_thread_ | gum::learning::IDatabaseTable< T_DATA, ALLOC > | mutableprotected |
| minNbRowsPerThread() const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| missing_symbols_ | gum::learning::IDatabaseTable< T_DATA, ALLOC > | protected |
| missingSymbols() const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| MissingValType typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| nbRows() const noexcept | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| nbThreads() const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| nbVariables() const noexcept | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| operator=(const IDatabaseTable< T_DATA, ALLOC > &from) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | protected |
| operator=(IDatabaseTable< T_DATA, ALLOC > &&from) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | protected |
| pointer typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| reference typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| Row typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| rows_ | gum::learning::IDatabaseTable< T_DATA, ALLOC > | protected |
| setAllRowsWeight(const double new_weight) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| setMaxNbThreads(const std::size_t nb) const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| setMinNbRowsPerThread(const std::size_t nb) const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| setVariableNames(const std::vector< std::string, ALLOC< std::string > > &names, const bool from_external_object=true)=0 | gum::learning::IDatabaseTable< T_DATA, ALLOC > | pure virtual |
| setVariableNames(const std::vector< std::string, OTHER_ALLOC< std::string > > &names, const bool from_external_object=true) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| setWeight(const std::size_t i, const double weight) | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| size() const noexcept | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| size_type typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| True enum value | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| value_type typedef | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| variable_names_ | gum::learning::IDatabaseTable< T_DATA, ALLOC > | protected |
| variableName(const std::size_t k) const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| variableNames() const noexcept | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| weight(const std::size_t i) const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| weight() const | gum::learning::IDatabaseTable< T_DATA, ALLOC > | |
| ~IDatabaseTable() | gum::learning::IDatabaseTable< T_DATA, ALLOC > | virtual |
