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66 Commits

Author SHA1 Message Date
Alejandro Moreo Fernandez 67906f6f2d adding uci_experiments to examples folder 2023-03-23 15:46:03 +01:00
Alejandro Moreo Fernandez 8fc4669046 import fix 2023-02-14 19:15:59 +01:00
Alejandro Moreo Fernandez e0718b6e1b merging from protocols (aka v0.1.7) 2023-02-14 18:13:21 +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 952cf5e767 fixing bugs in one-vs-all 2023-02-10 19:02:17 +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 09abcfc935 adding calibration methods from the abstension package to quapy 2023-01-18 19:46:19 +01:00
Alejandro Moreo Fernandez 6e910075ab adding calibration methods from abstension package 2023-01-17 13:53:48 +01:00
Alejandro Moreo Fernandez 8b0b9f522a some bugfixes, unittest and minor changes 2023-01-16 13:51:29 +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 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 543003f914
Merge pull request #13 from pglez82/dys_implementation
Dys implementation
2022-07-12 13:05:35 +02:00
Pablo González c91961cff5 adding to __init__.py 2022-07-11 14:10:04 +02:00
Pablo González 428f10fb2d adding SMM 2022-07-11 14:06:14 +02:00
Alejandro Moreo Fernandez ecd0ad7ec7 unit test for replicability based on qp.util.temp_seed 2022-07-11 14:00:25 +02:00
Pablo González 46e294002f dys implementation 2022-07-11 12:21:49 +02:00
Pablo González 750814ef2a fixing bug in ACC when using cross validation 2022-06-24 14:20:08 +02:00
Alejandro Moreo Fernandez 2cc7db60cc updating parallel policy to take n_jobs from environment (not yet tested) 2022-06-14 09:35:39 +02:00
Alejandro Moreo Fernandez eba6fd8123 optimization conditional in the prediction function 2022-05-26 17:59:23 +02:00
Alejandro Moreo Fernandez 4bc9d19635 many changes, see change log 2022-05-25 19:14:33 +02:00
Alejandro Moreo Fernandez fd339839a5 removing redundant code 2022-05-19 13:43:32 +02:00
Alejandro Moreo Fernandez fa577abdd2 merging from pool request and adding documentation 2022-03-15 14:16:37 +01:00
Alejandro Moreo Fernandez 8ee5e499f5 bugfix when the number of positive elemnts for one of the classes is 0 2022-03-14 16:42:41 +01:00
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 b4aeaa97b7 fixing issue regarding fit_learner=False in QuaNetTrainer 2021-06-21 12:55:39 +02:00
Alejandro Moreo Fernandez a1cdc9ef43 fixing fit_learner=False case in QuaNet 2021-06-21 11:13:14 +02:00
Alejandro Moreo Fernandez 8239947746 refit=True default value in GridSearchQ 2021-06-16 13:53:54 +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 460efe7105 OneVsAll does not have attribute learner_ solved 2021-06-01 16:07:01 +02:00
Andrea Esuli 5b772c7eda Bug fixes on use of classes_. Tests. 2021-05-05 17:12:44 +02:00
Andrea Esuli bfbfe08116 Added classes_ property to all quantifiers. 2021-05-04 17:09:13 +02:00
Alejandro Moreo Fernandez 1d12e96867 cleaning 2021-04-28 11:27:25 +02:00
Alejandro Moreo Fernandez 8381bce3a8 more fgsld 2021-03-11 19:00:40 +01:00
Alejandro Moreo Fernandez 775417c8eb bugfix in PACC 2021-02-18 13:48:41 +01:00
Alejandro Moreo Fernandez 854d759dc4 making everything work like in the wiki 2021-02-17 18:05:22 +01:00
Alejandro Moreo Fernandez 70da8f7925 updating the documentation 2021-02-16 19:38:52 +01:00
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 e7527bd7ed bugfix 2021-01-25 09:02:11 +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 1ba0748b59 experimental method ave-pool, not working due to the fact that onevsall is aggregative and ave-pool is not 2021-01-20 17:03:12 +01:00
Alejandro Moreo Fernandez f69eb59eb8 launching quanet 2021-01-20 09:01:04 +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