Multivariate Point Process Package
0.1
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Options used to configure the fitting of the Low-rank Hawkes process. More...
#include <LowRankHawkesProcess.h>
Public Attributes | |
std::map< RegCoef, double > | coefficients |
double | ini_learning_rate |
double | rho |
double | ub_nuclear_lambda0 |
double | ub_nuclear_alpha |
unsigned | ini_max_iter |
Options used to configure the fitting of the Low-rank Hawkes process.
Definition at line 115 of file LowRankHawkesProcess.h.
std::map<RegCoef, double> LowRankHawkesProcess::OPTION::coefficients |
Regularization coefficients value.
Definition at line 120 of file LowRankHawkesProcess.h.
double LowRankHawkesProcess::OPTION::ini_learning_rate |
Initial learning rate of gradient descend.
Definition at line 124 of file LowRankHawkesProcess.h.
unsigned LowRankHawkesProcess::OPTION::ini_max_iter |
Maximum number of iterations.
Definition at line 140 of file LowRankHawkesProcess.h.
double LowRankHawkesProcess::OPTION::rho |
Coefficient to enforce the low-rank constraint.
Definition at line 128 of file LowRankHawkesProcess.h.
double LowRankHawkesProcess::OPTION::ub_nuclear_alpha |
Upper bound estimation of the nuclear norm of the excitation matrix
Definition at line 136 of file LowRankHawkesProcess.h.
double LowRankHawkesProcess::OPTION::ub_nuclear_lambda0 |
Upper bound estimation of the nuclear norm of the base intensity matrix
Definition at line 132 of file LowRankHawkesProcess.h.