 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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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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8a6579428b
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implementing the 'total' function of IFCB protocols
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2023-11-08 11:31:33 +01:00 |
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Alejandro Moreo Fernandez
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f18bce5f80
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added dataset IFCB plankton
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2023-11-08 11:07:47 +01:00 |
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Alejandro Moreo Fernandez
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1efe13c538
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import fix in uci_experiments.py
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2023-03-24 10:41:53 +01:00 |
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Alejandro Moreo Fernandez
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763c008b6d
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all datasets
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2023-03-23 15:47:40 +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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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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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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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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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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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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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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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 |