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This is the implementation of Sparse Projection Oblique Randomer Forest
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MrAE add avg num leaf node per tree to tree stats output. (#302)
* add avg num leaf node per tree to tree stats output.

* add avg num leaf nodes to tree stats output.
Latest commit 5acfdbc Aug 13, 2019

README.md

RerF

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RerF (aka Randomer Forest or Random Projection Forests) is an algorithm developed by Tomita et al. (2016) which is similar to Random Forest-Random Combination (Forest-RC) developed by Breiman (2001).

The difference between the two algorithms is where the random linear combinations occur: Forest-RC combines features at the tree level whereas RerF combines features at the node level.

Packages

packedForest (C++)

  • Memory optimized C++ implementation of RandomForest and RerF.

Py-RerF

  • Python bindings to packedForest.

R-RerF

  • The R and C++ implemetation of RerF.
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