Classes
class	MHNOperator
	Class storing an MHN operator represented by a theta matrix (for TT calculations) More...

Functions
template<pRC::Size R, pRC::Operator::Transform OT = pRC::Operator::Transform::None, pRC::Size D, class T , class Tb , class X >
auto	ALS (MHNOperator< T, D > const &MHNop, Tb const &b, T const &tolerance, X const &x0)

template<pRC::Size R, pRC::Operator::Transform OT = pRC::Operator::Transform::None, pRC::Size D, class T , class Tb >
auto	ALS (MHNOperator< T, D > const &MHNop, Tb const &b, T const &tolerance)

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 > >	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. More...

template<pRC::Size R, pRC::Operator::Transform OT = pRC::Operator::Transform::None, pRC::Size D, class T , class Tb >
auto	MAMEN (MHNOperator< T, D > const &MHNop, Tb const &b, T const &tolerance)

template<pRC::Size D, pRC::Size N = 2>
constexpr auto	getModeSizes ()

template<pRC::Size D, pRC::Size R, pRC::Size N = 2>
constexpr auto	getRanks ()

Function Documentation

◆ ALS() [1/2]

template<pRC::Size R, pRC::Operator::Transform OT = pRC::Operator::Transform::None, pRC::Size D, class T , class Tb >

auto cMHN::TT::ALS	(	MHNOperator< T, D > const &	MHNop,
		Tb const &	b,
		T const &	tolerance
	)

◆ ALS() [2/2]

template<pRC::Size R, pRC::Operator::Transform OT = pRC::Operator::Transform::None, pRC::Size D, class T , class Tb , class X >

auto cMHN::TT::ALS	(	MHNOperator< T, D > const &	MHNop,
		Tb const &	b,
		T const &	tolerance,
		X const &	x0
	)

◆ getModeSizes()

template<pRC::Size D, pRC::Size N = 2>

constexpr auto cMHN::TT::getModeSizes ( )

constexpr

◆ getRanks()

template<pRC::Size D, pRC::Size R, pRC::Size N = 2>

constexpr auto cMHN::TT::getRanks ( )

constexpr

◆ learnTheta()

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.

The optimization is done by BFGS. Logging information containing Score and Regulator names, Iteration number, Time, Score and Regularization strength is written to file after every iteration.

The optimized theta is returned. Additionally, two std::maps are returned containing logging information:

std::map<std::string, std::string> logInfoNames: Info like Score name and Regulator name
std::map<std::string, double> logInfoNumbers: Info like final score and runtime

Template Parameters

RP	max TT rank used for pTheta
RQ	max TT rank used for q in calculation of derivatives
T	type used for calculations (inferred)
D	number of events of the dataset (inferred)
S	Subscripts type used as keys in data distribution (inferred)

Parameters

theta	theta matrix representing the initial MHN
header	header of the data (usually containing event names)
output	file to write the theta matrix to
pD	data distribution to learn
Score	Score object representing the score used
Regulator	Regulator object representing the regulator used
toleranceOptimizer	tolerance of the optimizer
toleranceSovlerP	tolerance of the solver for calculating pTheta
toleranceSolverQ	tolerance of the solver for calculating q (intermediate result for calculating the derivatives)

◆ MAMEN()