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.
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