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.