7 Commits

Author	SHA1	Message	Date
Alejandro Moreo Fernandez	2aabfdc4c0	testing bandwidth selection as internal model selection with reduction	2024-09-24 17:10:04 +02:00
Alejandro Moreo Fernandez	5f9dad4644	trying optimizing both prev and band at the same time, and per-class bandwidth	2024-09-22 22:47:07 +02:00
Alejandro Moreo Fernandez	ad11b86168	adding environment variables for N_JOBS, and adding a default classifier (sklearn's logistic regression) for when the classifier is not specified in aggregative quantifiers	2024-05-30 10:53:53 +02:00
Alejandro Moreo Fernandez	bf33c134fc	Update _kdey.py ... fix in KDEy: makes the method robust to cases in which the number of positives for any class is smaller than the number k of folds. In such cases, the kde for that class is created from the uniform prevalence vector	2024-04-19 14:23:35 +02:00
Alejandro Moreo Fernandez	320b3eac38	small fixes in kdey (now should work with string labels) and EMQ (in case some training prior prob was 0, it broke)	2024-02-23 16:29:53 +01:00
Alejandro Moreo Fernandez	fcc3f8a0d9	fixing sphinx doc	2024-02-07 18:31:34 +01:00
Alejandro Moreo Fernandez	7ac834bd2c	refactoring aggregation methods	2024-01-25 14:33:41 +01:00