owenodriscoll / AutoML

Python package for automated hyperparameter-optimization of common machine-learning algorithms
MIT License
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Adding weak models causes errors when weak model yields NaN's #24

Closed owenodriscoll closed 5 months ago

owenodriscoll commented 9 months ago

Related to Issue #10

In random select of weak models, models may be included that return NaN (if they're sufficiently bad) which ruins the stacked model (it cannot handel NaNs).

Solution: filter out worst of the weak models (if they return NaN), or make stacking regressor handle poor consituent models