15 Commits

Author	SHA1	Message	Date
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	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	99132c8166	fixing quanet	2021-01-20 12:35:14 +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	3c5a53bdec	testing quapy via replicating Tweet Quantification experiments	2021-01-12 17:39:00 +01:00
Alejandro Moreo Fernandez	3e07feda3c	import bug fixed	2021-01-12 09:35:49 +01:00
Alejandro Moreo Fernandez	d1b449d2e9	plot functionality added	2021-01-07 17:58:48 +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
Alejandro Moreo Fernandez	7bed93dcbf	added model selection for quantification	2020-12-22 17:43:23 +01:00
Alejandro Moreo Fernandez	7d6f523e4b	uniform sampling added if *prevs is empty	2020-12-17 18:17:17 +01:00
Alejandro Moreo Fernandez	c8a1a70c8a	refactoring aggregative methods as methods that not only implement 'classify' and 'quantify', but that also implement 'aggregate' and that, by default, have a default implementation of 'quantify' as a pipeline of 'classify' and 'aggregate'; this helps speeding up evaluations A LOT, since the documents can be pre-classified and the samples are carried out across pre-classified values (labels, or posterior probabilities), and thus only aggregate is called many times within the artificial sampling protocol	2020-12-11 19:28:17 +01:00
Alejandro Moreo Fernandez	9bc3a9f28a	evaluation by artificial prevalence sampling added. New methods added. New util functions added to quapy.functional and quapy.utils	2020-12-10 19:04:33 +01:00