[scikit-learn] Highly cited paper - causal random forests

Would this be difficult for a moderate user to implement in sklearn by modifying the existing code base? Estimation and Inference of Heterogeneous Treatment Effects using Random Forests 342 citations in less than a year (Google Scholar): https://amstat.tandfonline.com/doi/full/10.1080/01621459.20

[scikit-learn] Google code reviews

Hi All. What do you think of https://www.pullrequest.com/googleserve/? It's sponsored code reviews. Could be interesting, right? Best, Andy ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

Re: [scikit-learn] [Copyright] Skicit-learn graphic

I think it's ok to do as you said. -- Olivier ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

[scikit-learn] [Copyright] Skicit-learn graphic

Dear scikit-learn employees, on the scikit-learn webpage (link to the graphic) you will find a graphic, which I would like to use in a publication in an international journal. I slightly modified t

[scikit-learn] ANN: scikit-learn 0.21.2 released

A quick bugfix release to fix a critical regression in the computation of the euclidean distances returning incorrect values silently. This release also includes other bugfixes listed in the changelog: https://scikit-learn.org/0.21/whats_new.html#version-0-21-2 The PyPI.org wheels and conda-forg