19 Commits (e299acb921b979ac87a7a8dec53a3f8b19631753)

Author	SHA1	Message	Date
Meliurwen	a350ddc980	Decreased epsilon to `0.1` with a new seed	3 years ago
Meliurwen	62fcbd466a	Removed `rand::thread_rng` overriding the ChaCha's `rng`, increased the epsilon from 0.2 to 0.3 in the tests	3 years ago
Meliurwen	79ec08b29a	Made seed optional in `trajectory_generator`	3 years ago
Meliurwen	79dbd88529	Get rid of the `rand_core` rependency	3 years ago
Meliurwen	9316fcee30	The state generation is now seedable	3 years ago
Meliurwen	185e1756ca	The residence time generation is now seedable	3 years ago
Meliurwen	651148fffd	Replaced the current RNG with a seedable one (`rand_chacha`)	3 years ago
AlessandroBregoli	86d2a0b767	Implemented LL for ctbn	3 years ago
Meliurwen	6104dcc329	In the Bayesian approach alpha and tau are now divided by the number of possible configurations in its parent set	3 years ago
AlessandroBregoli	82e3c779a0	Added test: test_validate_params_valid_cim_with_huge_values	3 years ago
Alessandro Bregoli	c178862664	Enforced correct set of parameters (cim) when inserted manually	3 years ago
AlessandroBregoli	331c2006e9	Tested validate_params implemetation for DiscreteStateContinousTimeParams	3 years ago
AlessandroBregoli	9a27d794fc	Added tests for BA and MLE	3 years ago
Alessandro Bregoli	cc8071ca07	Changed parameter_learning module to use generics instead of Box for the network object	3 years ago
Alessandro Bregoli	ef04e04d1e	Changed trajectory_generator to use generics instead of Box for the network object	3 years ago
AlessandroBregoli	f87900fdbd	Bug fix of sampling + implementation of Bayesian Approach	3 years ago
AlessandroBregoli	5c816ebba7	parameter_learning refactor	3 years ago
AlessandroBregoli	4adfbfa4e4	Refactoring tests	3 years ago