 Alejandro Moreo Fernandez
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eb9a3dde2a
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grid search almost complete
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2023-11-21 18:59:36 +01:00 |
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Alejandro Moreo Fernandez
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6663b4c91d
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context timeout
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2023-11-20 22:05:26 +01:00 |
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Alejandro Moreo Fernandez
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f785a4eeef
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model selection with error handling
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2023-11-16 19:56:30 +01:00 |
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Alejandro Moreo Fernandez
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513c78f1f3
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model seletion in two levels, classifier oriented and quantifier oriented
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2023-11-16 14:29:34 +01:00 |
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Alejandro Moreo Fernandez
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e870d798b7
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fango
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2023-11-15 10:55:13 +01:00 |
Lorenzo Volpi
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5c7fbb2554
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cross_val_predict fix added
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2023-11-06 02:00:06 +01:00 |
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Lorenzo Volpi
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13fe531e12
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fix added for cross_val_predict
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2023-11-06 01:58:36 +01:00 |
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Lorenzo Volpi
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51c3d54aa5
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fix added for len of a LabelledCollection
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2023-11-06 01:53:52 +01:00 |
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Alejandro Moreo Fernandez
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67906f6f2d
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adding uci_experiments to examples folder
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2023-03-23 15:46:03 +01:00 |
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Alejandro Moreo Fernandez
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49fc486c53
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preparing to merge
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2023-02-14 17:00:50 +01:00 |
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Alejandro Moreo Fernandez
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952cf5e767
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fixing bugs in one-vs-all
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2023-02-10 19:02:17 +01:00 |
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Alejandro Moreo Fernandez
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2485117f05
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adding documentation and adding one new example
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2023-02-08 19:06:53 +01:00 |
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Alejandro Moreo Fernandez
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f9a199d859
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fixing hyperparameters with prefixes, and replacing learner with classifier in aggregative quantifiers
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2023-01-27 18:13:23 +01:00 |
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Alejandro Moreo Fernandez
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c20d9d5ea4
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the heuristic exact_train_prev is performed via kFCV, using a new function qp.model_selection.cross_val_predict
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2022-12-12 17:32:30 +01:00 |
Pablo González
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a4584b79db
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changing gridsearchQ to ensure reproducibility
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2022-07-11 16:27:02 +02:00 |
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Alejandro Moreo Fernandez
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c795404e7f
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import fix
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2022-06-15 16:54:42 +02:00 |
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Alejandro Moreo Fernandez
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2cc7db60cc
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updating parallel policy to take n_jobs from environment (not yet tested)
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2022-06-14 09:35:39 +02:00 |
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Alejandro Moreo Fernandez
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45642ad778
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lequa as dataset
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2022-06-01 18:28:59 +02:00 |
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Alejandro Moreo Fernandez
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4bc9d19635
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many changes, see change log
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2022-05-25 19:14:33 +02:00 |
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Alejandro Moreo Fernandez
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ba18d00334
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trying to figure out how to refactor protocols meaninguflly
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2021-12-20 11:39:44 +01:00 |
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Alejandro Moreo Fernandez
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8368c467dc
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adapting new format
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2021-11-26 10:57:49 +01:00 |
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Alejandro Moreo Fernandez
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7468519495
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testing baselines for lequa
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2021-11-24 11:20:42 +01:00 |
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Alejandro Moreo Fernandez
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3eb760901f
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doc update, official baselines for T1A and T1B refactored
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2021-11-12 14:30:02 +01:00 |
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Alejandro Moreo Fernandez
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611d080ca6
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format fix
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2021-11-09 15:44:57 +01:00 |
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Alejandro Moreo Fernandez
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238a30520c
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adapting everything to the new format
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2021-11-08 18:01:49 +01:00 |
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Alejandro Moreo Fernandez
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a7e87e41f8
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GridSearchQ adapted to work with generator functions and integrated for the baselines of LeQua2022; some tests with SVD
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2021-10-26 18:41:10 +02:00 |
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Alejandro Moreo Fernandez
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8239947746
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refit=True default value in GridSearchQ
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2021-06-16 13:53:54 +02:00 |
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Alejandro Moreo Fernandez
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294e251450
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bugfix when refit=False in model selection
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2021-06-16 13:23:44 +02:00 |
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Alejandro Moreo Fernandez
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be2f54de9c
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renaming functions to match the app and npp nomenclature; adding npp as an option for GridSearchQ
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2021-06-16 11:45:40 +02:00 |
 Andrea Esuli
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bfbfe08116
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Added classes_ property to all quantifiers.
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2021-05-04 17:09:13 +02:00 |
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Alejandro Moreo Fernandez
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ca4c344c55
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imports fix
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2021-03-19 17:34:09 +01:00 |
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Alejandro Moreo Fernandez
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a2ec72496a
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adding eval_budget to evaluation functions
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2021-02-09 11:48:16 +01:00 |
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Alejandro Moreo Fernandez
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e609c262b4
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parallel functionality added to quapy in order to allow for multiprocess parallelization (and not threading) handling quapy's environment variables
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2021-01-27 09:54:41 +01:00 |
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Alejandro Moreo Fernandez
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03cf73aff6
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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
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2021-01-22 18:01:51 +01:00 |
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Alejandro Moreo Fernandez
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bf1cc74ba1
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quapy fixed
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2021-01-22 09:58:12 +01:00 |
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Alejandro Moreo Fernandez
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482e4453a8
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refactor of ensembles, launching EPACC with Ptr policy
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2021-01-19 18:26:40 +01:00 |
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Alejandro Moreo Fernandez
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b30c40b7a0
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some refactor made in order to accomodate OneVsAll to operate with aggregative probabilistic quantifiers; launching OneVsAll(HDy)
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2021-01-18 16:52:19 +01:00 |
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Alejandro Moreo Fernandez
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5e64d2588a
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import fixes
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2021-01-15 18:32:32 +01:00 |
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Alejandro Moreo Fernandez
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865dafaefc
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setting a timeout for model_selection combinations in order to prevent some combinations to stuck the model selection
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2021-01-15 17:42:19 +01:00 |
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Alejandro Moreo Fernandez
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3c5a53bdec
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testing quapy via replicating Tweet Quantification experiments
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2021-01-12 17:39:00 +01:00 |
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Alejandro Moreo Fernandez
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2ec3400d15
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adding tweet sent quant experiments
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2021-01-11 18:31:12 +01:00 |
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Alejandro Moreo Fernandez
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326a8ab803
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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)
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2021-01-06 14:58:29 +01:00 |
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Alejandro Moreo Fernandez
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d8e2f7556e
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QuaNet added, two examples of TextClassifiers added (CNN, LSTM)
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2020-12-29 20:33:59 +01:00 |
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Alejandro Moreo Fernandez
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3ec711c96e
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model selection for quantification added
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2020-12-23 11:14:35 +01:00 |