aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
gum::learning::RawDatabaseTable Member List

This is the complete list of members for gum::learning::RawDatabaseTable, including all inherited members.

begin() constgum::learning::IDatabaseTable< DBCell >
beginSafe() constgum::learning::IDatabaseTable< DBCell >
clear() finalgum::learning::RawDatabaseTablevirtual
clone() const finalgum::learning::RawDatabaseTablevirtual
columnFromVariableName(const std::string &name) constgum::learning::IDatabaseTable< DBCell >
columnsFromVariableName(const std::string &name) constgum::learning::IDatabaseTable< DBCell >
const_iterator typedefgum::learning::IDatabaseTable< DBCell >
const_iterator_safe typedefgum::learning::IDatabaseTable< DBCell >
const_pointer typedefgum::learning::RawDatabaseTable
const_reference typedefgum::learning::RawDatabaseTable
content() const noexceptgum::learning::IDatabaseTable< DBCell >
DBVector typedefgum::learning::RawDatabaseTable
difference_type typedefgum::learning::RawDatabaseTable
empty() const noexceptgum::learning::IDatabaseTable< DBCell >
end() const noexceptgum::learning::IDatabaseTable< DBCell >
endSafe() const noexceptgum::learning::IDatabaseTable< DBCell >
eraseAllRows()gum::learning::IDatabaseTable< DBCell >
eraseFirstRow()gum::learning::IDatabaseTable< DBCell >
eraseFirstRows(const std::size_t k)gum::learning::IDatabaseTable< DBCell >
eraseLastRow()gum::learning::IDatabaseTable< DBCell >
eraseLastRows(const std::size_t k)gum::learning::IDatabaseTable< DBCell >
eraseRow(std::size_t index)gum::learning::IDatabaseTable< DBCell >
eraseRows(std::size_t deb, std::size_t end)gum::learning::IDatabaseTable< DBCell >
False enum valuegum::learning::IDatabaseTable< DBCell >
Handler typedefgum::learning::RawDatabaseTable
handler() constgum::learning::IDatabaseTable< DBCell >
HandlerSafe typedefgum::learning::RawDatabaseTable
handlerSafe() constgum::learning::IDatabaseTable< DBCell >
has_row_missing_val_gum::learning::IDatabaseTable< DBCell >protected
hasMissingValues() constgum::learning::IDatabaseTable< DBCell >
IDatabaseTable(const MissingValType &missing_symbols, const std::vector< std::string > &var_names)gum::learning::IDatabaseTable< DBCell >
ignoreColumn(const std::size_t k, const bool from_external_object=true) finalgum::learning::RawDatabaseTablevirtual
ignoredColumns() const finalgum::learning::RawDatabaseTablevirtual
inputColumns() const finalgum::learning::RawDatabaseTablevirtual
insertRow(const std::vector< std::string > &new_row) finalgum::learning::RawDatabaseTablevirtual
insertRows(Matrix< DBCell > &&new_rows, const DBVector< IsMissing > &rows_have_missing_vals)gum::learning::IDatabaseTable< DBCell >virtual
IsMissing typedefgum::learning::RawDatabaseTable
isRowSizeOK_(const std::size_t size) constgum::learning::IDatabaseTable< DBCell >protected
iterator typedefgum::learning::RawDatabaseTable
iterator_safe typedefgum::learning::RawDatabaseTable
Matrix typedefgum::learning::RawDatabaseTable
max_nb_threads_gum::learning::IDatabaseTable< DBCell >mutableprotected
min_nb_rows_per_thread_gum::learning::IDatabaseTable< DBCell >mutableprotected
minNbRowsPerThread() constgum::learning::IDatabaseTable< DBCell >
missing_symbols_gum::learning::IDatabaseTable< DBCell >protected
missingSymbols() constgum::learning::IDatabaseTable< DBCell >
MissingValType typedefgum::learning::RawDatabaseTable
nbProcessingThreads_() constgum::learning::IDatabaseTable< DBCell >protected
nbRows() const noexceptgum::learning::IDatabaseTable< DBCell >
nbThreads() constgum::learning::IDatabaseTable< DBCell >
nbVariables() const noexceptgum::learning::IDatabaseTable< DBCell >
operator=(const RawDatabaseTable &from)gum::learning::RawDatabaseTable
operator=(RawDatabaseTable &&from)gum::learning::RawDatabaseTable
gum::learning::IDatabaseTable< DBCell >::operator=(const IDatabaseTable< DBCell > &from)gum::learning::IDatabaseTable< DBCell >protected
pointer typedefgum::learning::RawDatabaseTable
rangesProcessingThreads_(const std::size_t nb_threads) constgum::learning::IDatabaseTable< DBCell >protected
RawDatabaseTable(const MissingValType &missing_symbols, const std::vector< std::string > &var_names)gum::learning::RawDatabaseTable
RawDatabaseTable(const MissingValType &missing_symbols)gum::learning::RawDatabaseTable
RawDatabaseTable()gum::learning::RawDatabaseTable
RawDatabaseTable(const RawDatabaseTable &from)gum::learning::RawDatabaseTable
RawDatabaseTable(RawDatabaseTable &&from)gum::learning::RawDatabaseTable
reference typedefgum::learning::RawDatabaseTable
Row typedefgum::learning::RawDatabaseTable
rows_gum::learning::IDatabaseTable< DBCell >protected
setAllRowsWeight(const double new_weight)gum::learning::IDatabaseTable< DBCell >
setMaxNbThreads(const std::size_t nb) constgum::learning::IDatabaseTable< DBCell >
setMinNbRowsPerThread(const std::size_t nb) constgum::learning::IDatabaseTable< DBCell >
setVariableNames(const std::vector< std::string > &names, const bool from_external_object=true) finalgum::learning::RawDatabaseTablevirtual
setWeight(const std::size_t i, const double weight)gum::learning::IDatabaseTable< DBCell >
size() const noexceptgum::learning::IDatabaseTable< DBCell >
size_type typedefgum::learning::RawDatabaseTable
True enum valuegum::learning::IDatabaseTable< DBCell >
value_type typedefgum::learning::RawDatabaseTable
variable_names_gum::learning::IDatabaseTable< DBCell >protected
variableName(const std::size_t k) constgum::learning::IDatabaseTable< DBCell >
variableNames() const noexceptgum::learning::IDatabaseTable< DBCell >
weight(const std::size_t i) constgum::learning::IDatabaseTable< DBCell >
~IDatabaseTable()gum::learning::IDatabaseTable< DBCell >virtual
~RawDatabaseTable()gum::learning::RawDatabaseTablevirtual