On 01/23/2018 11:09 AM, Gaurav Dhingra
wrote:
| Tricky thinngs we’ve been trying to do for years:
| * estimator tags
| * sample props
I actually have a student working on estimator tags right now.
I'm
thinking of choosing https://github.com/scikit-learn/scikit-learn/pull/6948
(ENH optimal n_clusters value), i.e completing that PR. If you
will be having availability to review my PR's (if I do open them),
then I'd glad to work with you on either Conditional inference
trees or adding post-pruning for decision trees.
No, I don't have time to review PRs.
If things don't go a little positive (neither you or Joel or may
be someone else from scikit-learn community is available), I'm
gonna be taking a little longer but I'll eventually get there
probably.
No, it's not possible to contribute to scikit-learn without working
with someone from the community.
Each pull request requires two reviewers to be merged. And that is
usually a prolonged process
of back and forth. Without someone stepping up to review, you can't
get your code in.