# Welcome to BARMPy’s documentation!¶

BARMPy is a Python library to implement Bayesian Additive Regression Networks (BARN, sometimes generalized to BAR*M* for generic *Models*), a machine learning method to ensemble together small models using Markov Chain Monte Carlo (MCMC) methods. This approach takes much inspiration from Bayesian Additive Regression Trees (BART).

BARN excels at accurately modeling a wide variety of regression problems with equal aplomb. This does come with a cost, as running the MCMC iterations and training neural networks can be computationally intensive. Problems with a thousand data points and ten features can take on the order of a second, but this varies with *difficulty* of the problem as much as the problem size itself.

# Installation¶

PyPi packages will be coming soon, but until then, you can install from the repository itself:

```
# Current release
pip install barmpy
# Latest development version
git clone git@github.com:dvbuntu/barmpy.git
pip install -e ./barmpy
```

# Tutorial¶

Currently available in BARMPy Repo or precompiled here.