 Alejandro Moreo Fernandez
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40cb8f78fe
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pytests before release
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2024-02-14 12:27:19 +01:00 |
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Alejandro Moreo Fernandez
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a8230827e2
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testing IFCB dataset
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2024-02-08 14:33:22 +01:00 |
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Alejandro Moreo Fernandez
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a97978b85d
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merged
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2024-02-07 18:45:42 +01:00 |
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Alejandro Moreo Fernandez
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fcc3f8a0d9
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fixing sphinx doc
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2024-02-07 18:31:34 +01:00 |
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Alejandro Moreo Fernandez
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2f2e48d86a
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passing pytests
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2024-01-29 09:43:29 +01:00 |
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Alejandro Moreo Fernandez
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e6dcfbced1
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adding M.Bunse's reference for the solver='minimize' option of ACC, PACC
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2024-01-25 18:03:35 +01:00 |
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Alejandro Moreo Fernandez
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74efa9751d
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adding the approximate solution to ACC and PACC as suggested by Mirko Bunse
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2024-01-25 16:43:00 +01:00 |
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Alejandro Moreo Fernandez
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7ac834bd2c
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refactoring aggregation methods
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2024-01-25 14:33:41 +01:00 |
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Alejandro Moreo Fernandez
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ff00de18cb
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updating documentation a bit
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2024-01-19 18:24:38 +01:00 |
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Alejandro Moreo Fernandez
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8d22ba39f4
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method MS2 (Medium Sweep 2) fixed
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2024-01-19 18:11:22 +01:00 |
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Alejandro Moreo Fernandez
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b68b58ad11
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fixed optimization threshold methods (again)
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2024-01-18 18:26:40 +01:00 |
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Alejandro Moreo Fernandez
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c0d92a2083
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optimization threshold variants fixed
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2024-01-18 18:22:22 +01:00 |
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Alejandro Moreo Fernandez
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9b2470c992
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testing optimization threshold variants, not working
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2024-01-17 19:15:50 +01:00 |
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Alejandro Moreo Fernandez
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896fa042d6
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fixing threshold optimization-based techniques
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2024-01-17 09:33:39 +01:00 |
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Alejandro Moreo Fernandez
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6d53b68d7f
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refactoring aggregative
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2024-01-10 15:39:27 +01:00 |
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Alejandro Moreo Fernandez
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c56fe9c09c
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merged
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2023-12-18 10:25:56 +01:00 |
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Alejandro Moreo Fernandez
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5caf555d65
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mergin
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2023-12-18 10:24:36 +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 |
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Alejandro Moreo Fernandez
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173db83c28
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solved __ issue in hierarchical classes
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2023-11-13 17:03:24 +01:00 |
 Andrea Esuli
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c2544b50ce
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Removed private method
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2023-11-13 14:45:34 +01:00 |
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Alejandro Moreo Fernandez
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c9c4511c0d
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hierarchical class problem?
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2023-11-13 12:42:57 +01:00 |
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Alejandro Moreo Fernandez
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44bfc7921f
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refactoring agg quantifiers
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2023-11-13 09:57:34 +01:00 |
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Alejandro Moreo Fernandez
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0a6185d908
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refactoring the aggregative quantifiers
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2023-11-12 14:45:03 +01:00 |
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Alejandro Moreo Fernandez
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25f1cc29a3
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refactoring aggregative quantifiers
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2023-11-12 13:04:19 +01:00 |
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Alejandro Moreo Fernandez
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29db15ae25
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added DMx and DMy, with a classmethod that returns HDx and HDy respectively
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2023-11-09 18:13:54 +01:00 |
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Alejandro Moreo Fernandez
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daca2bd1cb
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added MedianEstimator quantifier
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2023-11-09 14:20:41 +01:00 |
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Alejandro Moreo Fernandez
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66ad7295df
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fix in DistributionMatchingX
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2023-11-08 18:11:45 +01:00 |
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Alejandro Moreo Fernandez
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c3cf0e2d49
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adding DistributionMatchingX, the covariate-specific equivalent counterpart of DistributionMatching
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2023-11-08 16:13:48 +01:00 |
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Alejandro Moreo Fernandez
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76cf784844
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added HDx and an example comparing HDy vs HDx
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2023-11-08 15:34:17 +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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8fc4669046
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import fix
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2023-02-14 19:15:59 +01:00 |
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Alejandro Moreo Fernandez
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e0718b6e1b
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merging from protocols (aka v0.1.7)
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2023-02-14 18:13:21 +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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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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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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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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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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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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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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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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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 |
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 |