Hi All. I'm happy to announce that Olivier and me just uploaded the 0.16.1 bugfix release.
It fixes a bug in Isotonic Regression that made the new calibration unstable. It also fixes some minor regressions, such as prediction speed of random forests, and makes the cross_decomposition module more stable. See the list of changes at http://scikit-learn.org/stable/whats_new.html Thanks to all who contributed! You can get it from https://pypi.python.org/pypi/scikit-learn/0.16.1 or update using pip install -U scikit-learn or conda update scikit-learn Don't update with pip if you are using Anaconda! Cheers, Andy ------------------------------------------------------------------------------ BPM Camp - Free Virtual Workshop May 6th at 10am PDT/1PM EDT Develop your own process in accordance with the BPMN 2 standard Learn Process modeling best practices with Bonita BPM through live exercises http://www.bonitasoft.com/be-part-of-it/events/bpm-camp-virtual- event?utm_ source=Sourceforge_BPM_Camp_5_6_15&utm_medium=email&utm_campaign=VA_SF _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
