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Author SHA1 Message Date
Alejandro Moreo Fernandez f9a199d859 fixing hyperparameters with prefixes, and replacing learner with classifier in aggregative quantifiers 2023-01-27 18:13:23 +01:00
Alejandro Moreo Fernandez c20d9d5ea4 the heuristic exact_train_prev is performed via kFCV, using a new function qp.model_selection.cross_val_predict 2022-12-12 17:32:30 +01:00
Alejandro Moreo Fernandez fb79a29204 todos and change log 2022-11-08 16:36:52 +01:00
Alejandro Moreo Fernandez be7a126c94 update todo things 2022-04-07 16:48:31 +02:00
Alejandro Moreo Fernandez 3835f89e9d adding documentation 2021-12-15 15:27:43 +01:00
Alejandro Moreo Fernandez 5deb92b457 update doc 2021-12-07 17:16:39 +01:00
Alejandro Moreo Fernandez 4284f1daa3 branch for LeQua2022 - first commit 2021-10-13 20:36:53 +02:00
Alejandro Moreo Fernandez ce908573e7 adding features for cross-lingual 2021-07-01 18:34:24 +02:00
Alejandro Moreo Fernandez a1cdc9ef43 fixing fit_learner=False case in QuaNet 2021-06-21 11:13:14 +02:00
Alejandro Moreo Fernandez be2f54de9c renaming functions to match the app and npp nomenclature; adding npp as an option for GridSearchQ 2021-06-16 11:45:40 +02:00
Alejandro Moreo Fernandez 41fb8651b3 Merge branch 'master' of gitea-s2i2s.isti.cnr.it:moreo/QuaPy 2021-06-11 10:58:54 +02:00
Alejandro Moreo Fernandez 2586e6ed7d fix in PCALR 2021-06-11 10:52:30 +02:00
Andrea Esuli 79fbbd9d80 pip package 2021-05-10 13:36:35 +02:00
Andrea Esuli 32b25146c1 Tests 2021-05-10 10:26:51 +02:00
Andrea Esuli bfbfe08116 Added classes_ property to all quantifiers. 2021-05-04 17:09:13 +02:00
Alejandro Moreo Fernandez 423fccb096 todo update 2021-04-27 18:47:25 +02:00
Alejandro Moreo Fernandez 854d759dc4 making everything work like in the wiki 2021-02-17 18:05:22 +01:00
Alejandro Moreo Fernandez 91f8d8f3e1 readme updated 2021-02-02 12:10:57 +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 2ec3400d15 adding tweet sent quant experiments 2021-01-11 18:31:12 +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 d8e2f7556e QuaNet added, two examples of TextClassifiers added (CNN, LSTM) 2020-12-29 20:33:59 +01:00
Alejandro Moreo Fernandez 8f543db638 updated TODO list 2020-12-14 18:42:18 +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
Alejandro Moreo Fernandez 78988c87f9 svmperf wrapper added 2020-12-03 16:59:13 +01:00