QuaPy

Author	SHA1	Message	Date
Andrea Esuli	79fbbd9d80	pip package	2021-05-10 13:36:35 +02:00
Andrea Esuli	bfbfe08116	Added classes_ property to all quantifiers.	2021-05-04 17:09:13 +02:00
Alejandro Moreo Fernandez	854d759dc4	making everything work like in the wiki	2021-02-17 18:05:22 +01:00
Alejandro Moreo Fernandez	3aaf57f2f3	all uci datasets from Pérez-Gállego added, quantification report added	2021-01-28 18:22:43 +01:00
Alejandro Moreo Fernandez	e609c262b4	parallel functionality added to quapy in order to allow for multiprocess parallelization (and not threading) handling quapy's environment variables	2021-01-27 09:54:41 +01:00
Alejandro Moreo Fernandez	8a53cfe677	parallel in threading mode (another)	2021-01-25 16:46:59 +01:00
Alejandro Moreo Fernandez	2fda46fc13	qp.environment was not reachable within Parallel processes; changing backend to threading	2021-01-25 09:58:39 +01:00
Alejandro Moreo Fernandez	2001c6d852	running ensembles	2021-01-25 08:54:10 +01:00
Alejandro Moreo Fernandez	03cf73aff6	refactor: methods requiring a val_split can now declare a default value in the __init__ method that will be used in case the fit method is called without specifying the val_split, which now is by default None in the fit, i.e., by default takes the value of the init, that is generally set to 0.4; some uci datasets added; ensembles can now be optimized for quantification, and can be trained on samples of smaller size	2021-01-22 18:01:51 +01:00
Alejandro Moreo Fernandez	bf1cc74ba1	quapy fixed	2021-01-22 09:58:12 +01:00
Alejandro Moreo Fernandez	482e4453a8	refactor of ensembles, launching EPACC with Ptr policy	2021-01-19 18:26:40 +01:00
Alejandro Moreo Fernandez	b30c40b7a0	some refactor made in order to accomodate OneVsAll to operate with aggregative probabilistic quantifiers; launching OneVsAll(HDy)	2021-01-18 16:52:19 +01:00
Alejandro Moreo Fernandez	5e64d2588a	import fixes	2021-01-15 18:32:32 +01:00
Alejandro Moreo Fernandez	5894d46b31	cleaning	2021-01-06 15:00:48 +01:00
Alejandro Moreo Fernandez	326a8ab803	added Ensemble methods (methods ALL, ACC, Ptr, DS from Pérez-Gallego et al 2017 and 2019) and some UCI ML datasets used in those articles (only 5 datasets out of 32 they used)	2021-01-06 14:58:29 +01:00

15 Commits