| allocator_type typedef | gum::learning::DBRow< T_DATA, ALLOC > | |
| clone() const | gum::learning::DBRow< T_DATA, ALLOC > | |
| clone(const ALLOC< T_DATA > &alloc) const | gum::learning::DBRow< T_DATA, ALLOC > | |
| DBRow class | gum::learning::DBRow< T_DATA, ALLOC > | friend |
| DBRow() | gum::learning::DBRow< T_DATA, ALLOC > | |
| DBRow(const ALLOC< T_DATA > &alloc) | gum::learning::DBRow< T_DATA, ALLOC > | |
| DBRow(const std::size_t size, const double weight=1.0, const ALLOC< T_DATA > &alloc=ALLOC< T_DATA >()) | gum::learning::DBRow< T_DATA, ALLOC > | |
| DBRow(const std::size_t size, const T_DATA default_value, const double weight, const ALLOC< T_DATA > &alloc=ALLOC< T_DATA >()) | gum::learning::DBRow< T_DATA, ALLOC > | |
| DBRow(std::initializer_list< T_DATA > list, const double weight=1.0, const ALLOC< T_DATA > &alloc=ALLOC< T_DATA >()) | gum::learning::DBRow< T_DATA, ALLOC > | |
| DBRow(const std::vector< T_DATA, OTHER_ALLOC< T_DATA > > &cells, const double weight=1.0, const ALLOC< T_DATA > &alloc=ALLOC< T_DATA >()) | gum::learning::DBRow< T_DATA, ALLOC > | |
| DBRow(std::vector< T_DATA, ALLOC< T_DATA > > &&cells, const double weight=1.0, const ALLOC< T_DATA > &alloc=ALLOC< T_DATA >()) | gum::learning::DBRow< T_DATA, ALLOC > | |
| DBRow(const DBRow< T_DATA, ALLOC > &from) | gum::learning::DBRow< T_DATA, ALLOC > | |
| DBRow(const DBRow< T_DATA, ALLOC > &from, const ALLOC< T_DATA > &alloc) | gum::learning::DBRow< T_DATA, ALLOC > | |
| DBRow(DBRow< T_DATA, ALLOC > &&from) | gum::learning::DBRow< T_DATA, ALLOC > | |
| DBRow(DBRow< T_DATA, ALLOC > &&from, const ALLOC< T_DATA > &alloc) | gum::learning::DBRow< T_DATA, ALLOC > | |
| getAllocator() const | gum::learning::DBRow< T_DATA, ALLOC > | |
| operator=(const DBRow< T_DATA, ALLOC > &from) | gum::learning::DBRow< T_DATA, ALLOC > | |
| operator=(DBRow< T_DATA, ALLOC > &&from) | gum::learning::DBRow< T_DATA, ALLOC > | |
| operator[](const std::size_t i) | gum::learning::DBRow< T_DATA, ALLOC > | |
| operator[](const std::size_t i) const | gum::learning::DBRow< T_DATA, ALLOC > | |
| pushBack(const T_DATA &elt) | gum::learning::DBRow< T_DATA, ALLOC > | |
| pushBack(T_DATA &&elt) | gum::learning::DBRow< T_DATA, ALLOC > | |
| reserve(const std::size_t new_size) | gum::learning::DBRow< T_DATA, ALLOC > | |
| resize(const std::size_t new_size) | gum::learning::DBRow< T_DATA, ALLOC > | |
| row() const noexcept | gum::learning::DBRow< T_DATA, ALLOC > | |
| row() noexcept | gum::learning::DBRow< T_DATA, ALLOC > | |
| row_ | gum::learning::DBRow< T_DATA, ALLOC > | protected |
| setRow(const std::vector< T_DATA, OTHER_ALLOC< T_DATA > > &new_row) | gum::learning::DBRow< T_DATA, ALLOC > | |
| setRow(std::vector< T_DATA, ALLOC< T_DATA > > &&new_row) | gum::learning::DBRow< T_DATA, ALLOC > | |
| setWeight(const double new_weight) | gum::learning::DBRow< T_DATA, ALLOC > | |
| size() const noexcept | gum::learning::DBRow< T_DATA, ALLOC > | |
| weight() const noexcept | gum::learning::DBRow< T_DATA, ALLOC > | |
| weight() noexcept | gum::learning::DBRow< T_DATA, ALLOC > | |
| weight_ | gum::learning::DBRow< T_DATA, ALLOC > | protected |
| ~DBRow() | gum::learning::DBRow< T_DATA, ALLOC > | |
