QuaPy/quapy/classification
Alejandro Moreo Fernandez d904c2ce24 add random_state to calibration classes, fix flaky calibration test
fit_tr_val's train_test_split had no random_state, so val_split=float
picked a different split every run; occasionally the split produced a
posterior distribution that made abstention's temperature-scaling
L-BFGS optimizer diverge to NaN. Threaded random_state through the
base class and all four calibrator subclasses, and pinned the test to
a seed confirmed stable across repeated runs.
2026-07-20 11:16:43 +02:00
..
__init__.py integrating bayesian methods and related functionality, plus unit test refactor 2026-06-05 14:08:06 +02:00
calibration.py add random_state to calibration classes, fix flaky calibration test 2026-07-20 11:16:43 +02:00
methods.py integrating bayesian methods and related functionality, plus unit test refactor 2026-06-05 14:08:06 +02:00
neural.py Fix 10 correctness bugs and clean up warnings/logging in core library 2026-07-04 18:49:44 +02:00
svmperf.py Add smoke tests for previously-untested modules, fix wasteful svmperf tmpdir creation 2026-07-04 19:05:06 +02:00