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 |
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|---|---|---|
| .. | ||
| __init__.py | ||
| _bayesian.py | ||
| _kdey.py | ||
| _neural.py | ||
| _threshold_optim.py | ||
| aggregative.py | ||
| base.py | ||
| meta.py | ||
| non_aggregative.py | ||