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QuaPy
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263 Commits

Author SHA1 Message Date
Alejandro Moreo Fernandez 140ab3bfc9 adding sanity check to APP, in order to prevent the user unattendedly runs into a never-endting loop of samples being generated 2023-02-22 11:57:22 +01:00
Alejandro Moreo Fernandez bfaa5678d7 merged 2023-02-17 12:54:15 +01:00
Alejandro Moreo Fernandez 8fc4669046 import fix 2023-02-14 19:15:59 +01:00
Alejandro Moreo Fernandez ee6af04abd pathfix 2023-02-14 18:16:11 +01:00
Alejandro Moreo Fernandez b08a8e5649 pathfix 2023-02-14 18:15:30 +01:00
Alejandro Moreo Fernandez e0718b6e1b merging from protocols (aka v0.1.7) 2023-02-14 18:13:21 +01:00
Alejandro Moreo Fernandez 9aa53db6ef adding documentation 2023-02-14 18:04:13 +01:00
Alejandro Moreo Fernandez 49fc486c53 preparing to merge 2023-02-14 17:00:50 +01:00
Alejandro Moreo Fernandez 25a829996e evaluation updated 2023-02-14 11:14:38 +01:00
Alejandro Moreo Fernandez c608647475 some bug fixes here and there 2023-02-13 19:27:48 +01:00
Alejandro Moreo Fernandez 505d2de823 elm examples 2023-02-13 12:01:52 +01:00
Alejandro Moreo Fernandez 4c74ff02a3 svmperf in one-vs-all bugfix 2023-02-11 10:47:27 +01:00
Alejandro Moreo Fernandez 7b2d3cb7f1 example using svmperf 2023-02-11 10:08:31 +01:00
Alejandro Moreo Fernandez 952cf5e767 fixing bugs in one-vs-all 2023-02-10 19:02:17 +01:00
Alejandro Moreo Fernandez 33a21db52c more examples, one-vs-all fixed 2023-02-09 19:43:24 +01:00
Alejandro Moreo Fernandez 9584e5152e more examples, one-vs-all fixed 2023-02-09 19:39:39 +01:00
Alejandro Moreo Fernandez e28abfc362 more examples, one-vs-all fixed 2023-02-09 19:39:16 +01:00
Alejandro Moreo Fernandez 2485117f05 adding documentation and adding one new example 2023-02-08 19:06:53 +01:00
Alejandro Moreo Fernandez ceb88792c5 added DistributionMatching method, a generic model for distribution matching for multiclass quantification problems that takes the divergence and number of bins as hyperparameters 2023-01-31 15:08:58 +01:00
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 adf799c8ec recalibration 2023-01-24 09:48:21 +01:00
Alejandro Moreo Fernandez 3c48841480 Merge branch 'protocols' of github.com:HLT-ISTI/QuaPy into protocols 2023-01-18 19:46:31 +01:00
Alejandro Moreo Fernandez 09abcfc935 adding calibration methods from the abstension package to quapy 2023-01-18 19:46:19 +01:00
Alejandro Moreo Fernandez 3541f559e3
Merge pull request #16 from pglez82/protocols 
Protocols
 2023-01-18 16:55:51 +01:00
Pablo González 38aa42e4c5 fixing a bug 2023-01-18 16:44:56 +01:00
Pablo González 17cc1a3a5b
Merge branch 'HLT-ISTI:protocols' into protocols 2023-01-18 16:14:40 +01:00
Pablo González 8da4b4c5f3 placing the legend 2023-01-18 16:12:38 +01:00
Pablo González 7ed7c9b2e9 changing the logaritmic scale 2023-01-18 16:05:40 +01:00
Alejandro Moreo Fernandez 1d4fa40f3e Merge branch 'protocols' of github.com:HLT-ISTI/QuaPy into protocols 2023-01-18 15:19:57 +01:00
Alejandro Moreo Fernandez 850f0e25db
Merge pull request #15 from pglez82/protocols 
Protocols
 2023-01-18 15:19:26 +01:00
Pablo González f10a3139d9 changes to plots again 2023-01-18 14:53:46 +01:00
Pablo González 50d886bffe testing log scale 2023-01-18 13:06:38 +01:00
Alejandro Moreo Fernandez 6e910075ab adding calibration methods from abstension package 2023-01-17 13:53:48 +01:00
Pablo González c888346fcf solving a bug in show_legend 2023-01-17 11:03:52 +01:00
Pablo González 7bcf8b24e9 fixing bug 2023-01-16 17:17:02 +01:00
Pablo González 948f63fade updating plot to center it better 2023-01-16 17:00:24 +01:00
Alejandro Moreo Fernandez 8b0b9f522a some bugfixes, unittest and minor changes 2023-01-16 13:51:29 +01:00
Alejandro Moreo Fernandez bb7a77c7c0 missing param in documentation of some protocols 2022-12-13 16:57:11 +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 eb860e9678 adding the possibility to estimate the training prevalence, instead of using the true training prevalence, as a starting point in emq 2022-12-12 09:34:09 +01:00
Alejandro Moreo Fernandez 643a19228b data reader for lequa 2022 competition 2022-11-28 12:02:08 +01:00
Alejandro Moreo Fernandez fb79a29204 todos and change log 2022-11-08 16:36:52 +01:00
Alejandro Moreo Fernandez eafc82c96a full example of training, model selection, and evaluation using the lequa2022 dataset with the new protocols 2022-11-04 15:15:12 +01:00
Alejandro Moreo Fernandez 6cb9f388e0 full example of training, model selection, and evaluation using the lequa2022 dataset with the new protocols 2022-11-04 15:06:08 +01:00
Alejandro Moreo Fernandez d75b777a13 Merge branch 'protocols' of github.com:HLT-ISTI/QuaPy into protocols 2022-11-04 15:04:50 +01:00
Alejandro Moreo Fernandez f2550fdb82 full example of training, model selection, and evaluation using the lequa2022 dataset with the new protocols 2022-11-04 15:04:36 +01:00
Alejandro Moreo Fernandez a4c33a8e4d import fix 2022-10-04 17:44:16 +02:00
Alejandro Moreo Fernandez e40c409609 bugfix in NeuralClassifierTrainer; it was only configured to work well in binary problems 2022-10-04 11:03:08 +02:00
Alejandro Moreo Fernandez 8e14bbc527 Merge branch 'master' of github.com:HLT-ISTI/QuaPy 2022-10-04 09:13:34 +02:00
Alejandro Moreo Fernandez 3af7c70a53 restoring the default legend in diag plot 2022-10-04 09:12:51 +02:00