RandomForest is allocating a lot of memory when using bootstrap option. · Issue #4774 · scikit-learn/scikit-learnYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Generalized additive models (GAMs)? · Issue #3482 · scikit-learn/scikit-learn
Hello there, Thanks for making this fantastic library. I use it every day in my bioinformatics research. We're developing a toolkit for single-cell RNA-seq analysis (http://github.com/yeolab/flotilla) and want to add all current state-of-the-art analyses. Unfortunately, most of these are in R. I can reimplemement some of them, but they rely on certain R packages, in particular VGAM, aka Vector Gen
[MRG] Complete rewrite of the tree module by glouppe · Pull Request #2131 · scikit-learn/scikit-learn
Here are some good news for Kaggle competitors... :) In this PR, I propose a complete rewrite of the core tree module (_tree.pyx) and of all tree-dependent estimators. In particular, this new implementation factorizes out the splitting strategy at the core of the construction process of a tree. Such a strategy is now implemented in a Splitter object as specified in the new interface in _tree.pxd.
![[MRG] Complete rewrite of the tree module by glouppe · Pull Request #2131 · scikit-learn/scikit-learn](https://cdn-ak-scissors.b.st-hatena.com/image/square/f2323ef505e4f3057d815b86802e66427acff909/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2F503a789573605301a3e1e4cc041bfac4b42ef3b46033b90fd899ff97cba34920%2Fscikit-learn%2Fscikit-learn%2Fpull%2F2131)
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KNeighborsClassifier is missing predict_proba() · Issue #895 · scikit-learn/scikit-learn
scikit-learn/k_means_.py at master · scikit-learn/scikit-learn · GitHub
scikit-learn/sklearn/ensemble/forest.py at a95203b249c1cf392f86d001ad999e29b2392739 · scikit-learn/scikit-learn
[WIP] Decision tree export to javascript by tokoroten · Pull Request #5054 · scikit-learn/scikit-learn![[WIP] Decision tree export to javascript by tokoroten · Pull Request #5054 · scikit-learn/scikit-learn](https://cdn-ak-scissors.b.st-hatena.com/image/square/30e533e5ac6d7825f4f21412e87386830cdd2ad0/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2F01ea0a057c20334990becc08cc6ce8b441fd2df506145c728cbff59db241ed01%2Fscikit-learn%2Fscikit-learn%2Fpull%2F5054)
[MRG+2] Adding Implementation of SAG - next episode by TomDLT · Pull Request #4738 · scikit-learn/scikit-learn![[MRG+2] Adding Implementation of SAG - next episode by TomDLT · Pull Request #4738 · scikit-learn/scikit-learn](https://cdn-ak-scissors.b.st-hatena.com/image/square/6599a0b819005c95941b576c0720978ea5d42e33/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2F33e5a7b99a216a9cb77c28d500361a7229e6a44b5997cb4239787d54c8081813%2Fscikit-learn%2Fscikit-learn%2Fpull%2F4738)
scikit-learn/sklearn/tree/tree.py at 77c963d0348437470f5cf1e619e7702aa8c56d1c · scikit-learn/scikit-learn
GitHub - scikit-learn-contrib/scikit-learn-contrib: scikit-learn compatible projects
[WIP] Categorical split for decision tree by MatthieuBizien · Pull Request #3346 · scikit-learn/scikit-learn![[WIP] Categorical split for decision tree by MatthieuBizien · Pull Request #3346 · scikit-learn/scikit-learn](https://cdn-ak-scissors.b.st-hatena.com/image/square/9b2fdf963d1410a6677e08e076cc0d97542213be/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2Fbf7132a3cb1f343a957bd25b32ba488ca7e11ab1d23ead43bbe809c6518b0bc2%2Fscikit-learn%2Fscikit-learn%2Fpull%2F3346)
[MRG+1]: Add decision tree plotting. by nvdv · Pull Request #6380 · scikit-learn/scikit-learn![[MRG+1]: Add decision tree plotting. by nvdv · Pull Request #6380 · scikit-learn/scikit-learn](https://cdn-ak-scissors.b.st-hatena.com/image/square/944e7e79f4db2c823bf3775278f09c91a940b1e2/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2Ffe0799c7217b44d8b9490cb326870a75c19ba5365d57c6ede31234131feeb4b7%2Fscikit-learn%2Fscikit-learn%2Fpull%2F6380)
scikit-learn
https://github.com/scikit-learn-contrib/imbalanced-learn/star
GitHub - scikit-learn-contrib/forest-confidence-interval: Confidence intervals for scikit-learn forest algorithms
[MRG+1] refactor NMF and add CD solver by TomDLT · Pull Request #4852 · scikit-learn/scikit-learn![[MRG+1] refactor NMF and add CD solver by TomDLT · Pull Request #4852 · scikit-learn/scikit-learn](https://cdn-ak-scissors.b.st-hatena.com/image/square/e4db30748e5dc7ce76c422633c39156b18bd3c51/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2F861b3c9f35103207047c7e3f8e3ebd8f09a119600b4faaebda73d267318f6e54%2Fscikit-learn%2Fscikit-learn%2Fpull%2F4852)
GitHub - scikit-learn-contrib/imbalanced-learn: A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
scikit-learn/forest.py at master · scikit-learn/scikit-learn · GitHub
scikit-learn/sklearn/cluster/spectral.py at 14031f65d144e3966113d3daec836e443c6d7a5b · scikit-learn/scikit-learn
scikit-learn/sklearn/tree/_tree.pyx at 4907029b1ddff16b111c501ad010d5207e0bd177 · scikit-learn/scikit-learn
