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cMHN 1.2
C++ library for learning MHNs with pRC
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#include <iostream>#include <map>#include <string>#include <tuple>#include <cmhn/common/calculate_pTheta.hpp>#include <cmhn/tt/als.hpp>#include <cmhn/tt/mamen.hpp>#include <cmhn/tt/mhn_operator.hpp>#include <cmhn/tt/utility.hpp>#include <cmhn/utility/read_data.hpp>#include <cmhn/utility/read_header.hpp>#include <cmhn/utility/write_theta.hpp>#include <prc.hpp>Go to the source code of this file.
Namespaces | |
| namespace | cMHN |
| namespace | cMHN::TT |
Functions | |
| template<pRC::Size RP, pRC::Size RQ, class T , pRC::Size D, class S > | |
| std::tuple< pRC::Tensor< T, D, D >, std::map< std::string, std::string >, std::map< std::string, double > > | cMHN::TT::learnTheta (pRC::Tensor< T, D, D > const &theta, std::string const &header, std::string const &output, std::map< S, T > const &pD, cMHN::Score< T > const &Score, cMHN::Regulator< T, D > const &Regulator, T const &toleranceOptimizer, T const &toleranceSolverP, T const &toleranceSolverQ) |
| Optimizes an MHN represented by a theta matrix to best describe a given data distribution using the TT format. | |