 Alejandro Moreo Fernandez
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9aa53db6ef
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adding documentation
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2023-02-14 18:04:13 +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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25a829996e
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evaluation updated
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2023-02-14 11:14:38 +01:00 |
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Alejandro Moreo Fernandez
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c608647475
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some bug fixes here and there
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2023-02-13 19:27:48 +01:00 |
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Alejandro Moreo Fernandez
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505d2de823
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elm examples
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2023-02-13 12:01:52 +01:00 |
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Alejandro Moreo Fernandez
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4c74ff02a3
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svmperf in one-vs-all bugfix
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2023-02-11 10:47:27 +01:00 |
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Alejandro Moreo Fernandez
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7b2d3cb7f1
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example using svmperf
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2023-02-11 10:08:31 +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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33a21db52c
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more examples, one-vs-all fixed
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2023-02-09 19:43:24 +01:00 |
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Alejandro Moreo Fernandez
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9584e5152e
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more examples, one-vs-all fixed
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2023-02-09 19:39:39 +01:00 |
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Alejandro Moreo Fernandez
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e28abfc362
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more examples, one-vs-all fixed
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2023-02-09 19:39:16 +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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ceb88792c5
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added DistributionMatching method, a generic model for distribution matching for multiclass quantification problems that takes the divergence and number of bins as hyperparameters
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2023-01-31 15:08:58 +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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adf799c8ec
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recalibration
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2023-01-24 09:48:21 +01:00 |
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Alejandro Moreo Fernandez
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3c48841480
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Merge branch 'protocols' of github.com:HLT-ISTI/QuaPy into protocols
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2023-01-18 19:46:31 +01:00 |
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Alejandro Moreo Fernandez
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09abcfc935
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adding calibration methods from the abstension package to quapy
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2023-01-18 19:46:19 +01:00 |
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Alejandro Moreo Fernandez
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3541f559e3
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Merge pull request #16 from pglez82/protocols
Protocols
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2023-01-18 16:55:51 +01:00 |
Pablo González
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38aa42e4c5
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fixing a bug
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2023-01-18 16:44:56 +01:00 |
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Pablo González
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17cc1a3a5b
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Merge branch 'HLT-ISTI:protocols' into protocols
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2023-01-18 16:14:40 +01:00 |
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Pablo González
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8da4b4c5f3
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placing the legend
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2023-01-18 16:12:38 +01:00 |
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Pablo González
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7ed7c9b2e9
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changing the logaritmic scale
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2023-01-18 16:05:40 +01:00 |
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Alejandro Moreo Fernandez
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1d4fa40f3e
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Merge branch 'protocols' of github.com:HLT-ISTI/QuaPy into protocols
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2023-01-18 15:19:57 +01:00 |
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Alejandro Moreo Fernandez
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850f0e25db
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Merge pull request #15 from pglez82/protocols
Protocols
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2023-01-18 15:19:26 +01:00 |
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Pablo González
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f10a3139d9
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changes to plots again
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2023-01-18 14:53:46 +01:00 |
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Pablo González
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50d886bffe
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testing log scale
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2023-01-18 13:06:38 +01:00 |
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Alejandro Moreo Fernandez
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6e910075ab
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adding calibration methods from abstension package
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2023-01-17 13:53:48 +01:00 |
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Pablo González
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c888346fcf
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solving a bug in show_legend
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2023-01-17 11:03:52 +01:00 |
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Pablo González
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7bcf8b24e9
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fixing bug
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2023-01-16 17:17:02 +01:00 |
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Pablo González
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948f63fade
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updating plot to center it better
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2023-01-16 17:00:24 +01:00 |
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Alejandro Moreo Fernandez
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8b0b9f522a
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some bugfixes, unittest and minor changes
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2023-01-16 13:51:29 +01:00 |
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Alejandro Moreo Fernandez
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bb7a77c7c0
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missing param in documentation of some protocols
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2022-12-13 16:57:11 +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 |
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Alejandro Moreo Fernandez
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eb860e9678
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adding the possibility to estimate the training prevalence, instead of using the true training prevalence, as a starting point in emq
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2022-12-12 09:34:09 +01:00 |
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Alejandro Moreo Fernandez
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643a19228b
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data reader for lequa 2022 competition
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2022-11-28 12:02:08 +01:00 |
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Alejandro Moreo Fernandez
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fb79a29204
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todos and change log
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2022-11-08 16:36:52 +01:00 |
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Alejandro Moreo Fernandez
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eafc82c96a
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full example of training, model selection, and evaluation using the lequa2022 dataset with the new protocols
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2022-11-04 15:15:12 +01:00 |
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Alejandro Moreo Fernandez
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6cb9f388e0
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full example of training, model selection, and evaluation using the lequa2022 dataset with the new protocols
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2022-11-04 15:06:08 +01:00 |
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Alejandro Moreo Fernandez
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d75b777a13
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Merge branch 'protocols' of github.com:HLT-ISTI/QuaPy into protocols
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2022-11-04 15:04:50 +01:00 |
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Alejandro Moreo Fernandez
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f2550fdb82
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full example of training, model selection, and evaluation using the lequa2022 dataset with the new protocols
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2022-11-04 15:04:36 +01:00 |
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Alejandro Moreo Fernandez
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a4c33a8e4d
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import fix
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2022-10-04 17:44:16 +02:00 |
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Alejandro Moreo Fernandez
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e40c409609
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bugfix in NeuralClassifierTrainer; it was only configured to work well in binary problems
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2022-10-04 11:03:08 +02:00 |
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Alejandro Moreo Fernandez
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8e14bbc527
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Merge branch 'master' of github.com:HLT-ISTI/QuaPy
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2022-10-04 09:13:34 +02:00 |
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Alejandro Moreo Fernandez
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3af7c70a53
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restoring the default legend in diag plot
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2022-10-04 09:12:51 +02:00 |
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Alejandro Moreo Fernandez
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1890e20057
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Update README.md
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2022-08-29 12:03:03 +02:00 |
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Alejandro Moreo Fernandez
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543003f914
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Merge pull request #13 from pglez82/dys_implementation
Dys implementation
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2022-07-12 13:05:35 +02:00 |
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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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Pablo González
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c91961cff5
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adding to __init__.py
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2022-07-11 14:10:04 +02:00 |
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Pablo González
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428f10fb2d
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adding SMM
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2022-07-11 14:06:14 +02:00 |
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Alejandro Moreo Fernandez
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ecd0ad7ec7
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unit test for replicability based on qp.util.temp_seed
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2022-07-11 14:00:25 +02:00 |