Member gum::credal::CNLoopyPropagation< GUM_SCALAR >::saveInference (const std::string &path): Use saveMarginals() from InferenceEngine instead.
Member gum::credal::CredalNet< GUM_SCALAR >::__bnCopy (BayesNet< GUM_SCALAR > &bn_dest)
Member gum::credal::CredalNet< GUM_SCALAR >::__find_dNode_card (const std::vector< std::vector< std::vector< GUM_SCALAR > > > &var_cpt) const
Member gum::credal::CredalNet< GUM_SCALAR >::__H2Vlrs (const std::vector< std::vector< GUM_SCALAR > > &h_rep, std::vector< std::vector< GUM_SCALAR > > &v_rep) const: one should use the LrsWrapper class Computes the V-representation of a credal set, i.e.
Member gum::credal::CredalNet< GUM_SCALAR >::__var_bits
Member gum::credal::CredalNet< GUM_SCALAR >::intervalToCredalWithFiles (): Use intervalToCredal ( lrsWrapper with no input / output files needed ).
Member gum::credal::InferenceEngine< GUM_SCALAR >::_timeSteps
Member gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine >::_verticesFusion (): Fusion of threads vertices.
Member TiXmlHandle::Element () const: use ToElement.
Member TiXmlHandle::Node () const: use ToNode.
Member TiXmlHandle::Text () const: use ToText() Return the handle as a TiXmlText.
Member TiXmlHandle::Unknown () const: use ToUnknown() Return the handle as a TiXmlUnknown.