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23 Commits

Author SHA1 Message Date
Alejandro Moreo Fernandez 29db15ae25 added DMx and DMy, with a classmethod that returns HDx and HDy respectively 2023-11-09 18:13:54 +01:00
Alejandro Moreo Fernandez c3cf0e2d49 adding DistributionMatchingX, the covariate-specific equivalent counterpart of DistributionMatching 2023-11-08 16:13:48 +01:00
Alejandro Moreo Fernandez 76cf784844 added HDx and an example comparing HDy vs HDx 2023-11-08 15:34:17 +01:00
Alejandro Moreo Fernandez 8a6579428b implementing the 'total' function of IFCB protocols 2023-11-08 11:31:33 +01:00
Alejandro Moreo Fernandez f18bce5f80 added dataset IFCB plankton 2023-11-08 11:07:47 +01:00
Alejandro Moreo Fernandez 1efe13c538 import fix in uci_experiments.py 2023-03-24 10:41:53 +01:00
Alejandro Moreo Fernandez 763c008b6d all datasets 2023-03-23 15:47:40 +01:00
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 49fc486c53 preparing to merge 2023-02-14 17:00:50 +01:00
Alejandro Moreo Fernandez 25a829996e evaluation updated 2023-02-14 11:14:38 +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 7b2d3cb7f1 example using svmperf 2023-02-11 10:08:31 +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 f9a199d859 fixing hyperparameters with prefixes, and replacing learner with classifier in aggregative quantifiers 2023-01-27 18:13:23 +01:00
Alejandro Moreo Fernandez adf799c8ec recalibration 2023-01-24 09:48:21 +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 eafc82c96a full example of training, model selection, and evaluation using the lequa2022 dataset with the new protocols 2022-11-04 15:15:12 +01:00
Alejandro Moreo Fernandez 6cb9f388e0 full example of training, model selection, and evaluation using the lequa2022 dataset with the new protocols 2022-11-04 15:06:08 +01:00
Alejandro Moreo Fernandez f2550fdb82 full example of training, model selection, and evaluation using the lequa2022 dataset with the new protocols 2022-11-04 15:04:36 +01:00