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This is the implementation of Sparse Projection Oblique Randomer Forest

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These are two methods for graph valued data. 1. Graph-Edge-MORF randomly takes one row of the adjacency matrices, then randomly samples some number of elements of that row based on...

We should have a plot to look at the impulse data before we run it through MF.

enhancement

#218 adds dependency of eigen. need to update dockerfile when that gets merged. `sudo apt install libeigen3-dev`

The following is a list of parameters that [sklearn random forest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html) has that we do not. - [ ] criterion (gini/entropy) - [ ] min_samples_leaf: The minimum number of samples...

Python
C++

Currently, releasing on pypi/docker is a chore and needs resources we don't always have available (OSX for instance). We can have Travis push the the release for us whenever we...

enhancement
Python

**Describe the bug** Travis fails intermittently in C++ tests **To Reproduce** ??? ```test: ./fpTests/RerF/../../../src/forestTypes/basicForests/rerf/../labeledData.h:37: T fp::labeledData::midVal(const fp::labeledData&) [with T = double]: Assertion `dataElement != (dataElement+otherData.dataElement)/2.0' failed. Makefile:87: recipe for target...

bug
C++

**Is your feature request related to a problem? Please describe.** we have binning as an option for RerF.py but not for sklearn rerfClassifier **Describe the solution you'd like** add them

enhancement
Python