So far I only have a strong opinion on not relying on the presence of
decision_function or predict_proba to identify a classifier.
Also, is the distinction we seek between classifiers and regressors,
precisely, or between categorical and continuous predictors? (i.e. do we
care that clusterers and
> Do you have some examples for this?
just read the commit:
https://github.com/agramfort/scikit-learn/commit/34223251fa33ae25c80f8e1dfb630a2e1c5ba7c6
A
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