[Scikit-learn-general] TSNE Memory Error

Hello All, My dataset has 93 features and just under 62,000 observations (61,878 to be exact). I'm running out of memory right after the mean sigma value is computed/displayed. I've tried using dimensionality reduction via TruncatedSVD with n_components set at different levels (78, 50 and 2 res

Re: [Scikit-learn-general] Contributing to scikit-learn with a re-implementation of a Random Forest based iterative feature selection method

Hi, In general, I agree that we should at least add a way to compute feature importances using permutations. This is an alternative, yet standard, way to do it in comparison to what we do (mean decrease of impurity, which is also standard). Assuming we provide permutation importances as a buildin