15 Commits

Author	SHA1	Message	Date
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