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
..
classification	doc update, official baselines for T1A and T1B refactored	2021-11-12 14:30:02 +01:00
data	data reader for lequa 2022 competition	2022-11-28 12:02:08 +01:00
method	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
tests	unit test for replicability based on qp.util.temp_seed	2022-07-11 14:00:25 +02:00
CHANGE_LOG.txt	todos and change log	2022-11-08 16:36:52 +01:00
__init__.py	updating parallel policy to take n_jobs from environment (not yet tested)	2022-06-14 09:35:39 +02:00
depr_evaluation.py	ongoing protocols	2022-05-23 00:20:08 +02:00
error.py	full example of training, model selection, and evaluation using the lequa2022 dataset with the new protocols	2022-11-04 15:04:36 +01:00
evaluation.py	full example of training, model selection, and evaluation using the lequa2022 dataset with the new protocols	2022-11-04 15:04:36 +01:00
functional.py	dys implementation	2022-07-11 12:21:49 +02:00
model_selection.py	changing gridsearchQ to ensure reproducibility	2022-07-11 16:27:02 +02:00
plot.py	testing baselines for lequa	2021-11-24 11:20:42 +01:00
protocol.py	changing app to use prevalence_linspace function with smooth limits	2022-06-24 14:05:47 +02:00
util.py	changing gridsearchQ to ensure reproducibility	2022-07-11 16:27:02 +02:00