11 Commits

Author	SHA1	Message	Date
Alejandro Moreo Fernandez	5deb92b457	update doc	2021-12-07 17:16:39 +01:00
Alejandro Moreo Fernandez	7468519495	testing baselines for lequa	2021-11-24 11:20:42 +01:00
Andrea Esuli	5b772c7eda	Bug fixes on use of classes_. Tests.	2021-05-05 17:12:44 +02:00
Alejandro Moreo Fernandez	5e64d2588a	import fixes	2021-01-15 18:32:32 +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	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	e55caf82fd	merged	2020-12-10 19:08:22 +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
Alejandro Moreo Fernandez	9c8d29156c	aggregative methods adapted. Explicit loss minimization methods (SVMQ, SVMKLD, ...) added and with support to binary or single-label. HDy added	2020-12-04 19:32:08 +01:00
Alejandro Moreo Fernandez	a882424eeb	many aggregative methods added	2020-12-03 18:12:28 +01:00