On Mon, Nov 28, 2016 at 01:46:08PM -0500, Andreas Mueller wrote: > I guess so. You'd handle parameters using an estimator_params dict in init > and pass that to the caching function?
I'd try to set on the estimator, before passing them to the function, as we do in standard scikit-learn, and joblib is clever enough to take that in account when given the estimator as a function of the function that is memoized. G _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
