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https://github.com/arkoniak/straycopses.jl

Yet another native Julia Random Forest implementation
https://github.com/arkoniak/straycopses.jl

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Yet another native Julia Random Forest implementation

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# StrayCopse

[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://Arkoniak.github.io/StrayCopses.jl/stable)
[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://Arkoniak.github.io/StrayCopses.jl/dev)
[![Build Status](https://travis-ci.com/Arkoniak/StrayCopses.jl.svg?branch=master)](https://travis-ci.com/Arkoniak/StrayCopses.jl)
[![Codecov](https://codecov.io/gh/Arkoniak/StrayCopses.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/Arkoniak/StrayCopses.jl)

# Installation

This package is unregistered yet, so you should use dev version. To add `master`
version switch julia to `pkg` mode by pressing `]` and enter
```julia
pkg> add https://github.com/Arkoniak/StrayCopses.jl.git
```

# Motivation

Currently this is a toy project, so API can be unstable, very unfriendly and so on.
There are two ideas that I want to try in this package

1. Push calculation speed as much as possible
2. Use it as a test-bed for various random forest techniques that currently are scattered in various
papers and narrow implementations.