9 Commits

Author	SHA1	Message	Date
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	d8e2f7556e	QuaNet added, two examples of TextClassifiers added (CNN, LSTM)	2020-12-29 20:33:59 +01:00
Alejandro Moreo Fernandez	7bed93dcbf	added model selection for quantification	2020-12-22 17:43:23 +01:00
Alejandro Moreo Fernandez	649d412389	dataset fetch for polarity reviews (hp, kindle, imdb) and twitter sentiment (11 datasets) added	2020-12-14 18:36:19 +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	2361186a01	aggregation methods updated	2020-12-09 12:46:50 +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