> Would it be simple to modify sklearn code to do this, or would it require a > lot of tinkering > such as modifying every single classifier under the sun?
You can use sample weights to go a bit in this direction. But in general, the mathematical meaning of your intuitions will depend on the classifier, so they will not be general ways of implementing them without a lot of tinkering. _______________________________________________ scikit-learn mailing list [email protected] https://mail.python.org/mailman/listinfo/scikit-learn
