Scikit-learn 0.12 released by Andreas Mueller.
From the post:
Last night I uploaded the new version 0.12 of scikit-learn to pypi. Also the updated website is up and running and development now starts towards 0.13.
The new release has some nifty new features (see whatsnew):
- Multidimensional scaling
- Multi-Output random forests (like these)
- Multi-task Lasso
- More loss functions for ensemble methods and SGD
- Better text feature extraction
Eventhough, the majority of changes in this release are somewhat “under the hood”.
Vlad developed and set up a continuous performance benchmark for the main algorithms during his google summer of code. I am sure this will help improve performance.
There already has been a lot of work in improving performance, by Vlad, Immanuel, Gilles and others for this release.
Just in case you haven’t been keeping up with Scikit-learn.