Yesterday a week-long scikit-learn coding sprint in Paris ended. And let me just say: a week is pretty long for a sprint. I think most of us were pretty exhausted in the end. But we put together a release candidate for 0.14 that Gael Varoquaux tagged last night. You can install it via: pip install -U https://github.com/scikit-learn/scikit-learn/archive/0.14a1.zip There are also tarballs on github and binaries on sourceforge . If you want the most current version, you can check out the release branch on github: https://github.com/scikit-learn/scikit-learn/tree/0.14.X The full list of changes can be found in what's new . The purpose of the release candidate is to give users a chance to give us feedback before the release. So please try it out and report back if you have any issues.
Showing posts from July, 2013
- Other Apps
The ICML is now already over for two weeks, but I still wanted to write about my reading list, as there have been some quite interesting papers ( the proceedings are here ). Also, I haven't blogged in ages, for which I really have no excuse ;) There are three topics that I am particularly interested in, which got a lot of attention at this years ICML: Neural networks, feature expansion and kernel approximation, and Structured prediction.