> - discuss the with the tree growers guys on how to best parallelize > random forest trainings on multi-core without copying the training set > in memory > - either with threads in joblib and "with nogil" statements in the > inner loops of the (new) cython code > - either with shared memory and the (in)famous PR #44 of joblib
Indeed, I would love to see this properly fixed in one way or another. Otherwise, on my part, I plan to complete PR #2131 if it is not yet merged in by the time of the sprint, and then address tree-related issues/PRs that have been lying around for months now. Also, if someone has a special request for the ensemble/tree modules, now is the time to ask :) Besides that, I plan to dedicate a good deal of my time in fixing/closing random issues or reviewing pending PRs. The list has grown so much lately, we need to cut that! And of course I'll help Nicolas on his GSoC. ------------------------------------------------------------------------------ See everything from the browser to the database with AppDynamics Get end-to-end visibility with application monitoring from AppDynamics Isolate bottlenecks and diagnose root cause in seconds. Start your free trial of AppDynamics Pro today! http://pubads.g.doubleclick.net/gampad/clk?id=48808831&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
