Hey Scikit-Learn, I've been working on some changes to the RandomForest code and I had a few questions.
First, it looks like the function def _partition_features(forest, n_total_features): partitions features evenly across cores. Am I reading that correctly? If so, does this mean that on 2 cores with 100 features, feature 1 and feature 100 are not going to be in any tree together? Second, it looks like someone is planning to sample examples but that it isn't currently operational: it's setting sample_mask to either None or all ones. Does anyone know what the state of partitioning or filtering features and examples is, and what the medium term plan is? Thanks guys, Tommy Guy ------------------------------------------------------------------------------ WINDOWS 8 is here. Millions of people. Your app in 30 days. Visit The Windows 8 Center at Sourceforge for all your go to resources. http://windows8center.sourceforge.net/ join-generation-app-and-make-money-coding-fast/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
