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RoBO: a Robust Bayesian Optimization framework

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RoBO - a Robust Bayesian Optimization framework.
================================================

Master Branch
------------------
[![Build Status](https://travis-ci.org/automl/RoBO.svg?branch=master)](https://travis-ci.org/automl/RoBO)
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Installation
------------

RoBO uses the Gaussian processes library [george](https://github.com/automl/george.git) and the random forests library [pyrfr](https://github.com/automl/random_forest_run). In order to use these libraries make sure that libeigen and swig are installed:

```
sudo apt-get install libeigen3-dev swig 
```

Download RoBO and then change into the new directory:

```
git clone https://github.com/automl/RoBO
cd RoBO/
```

Install the required dependencies.
```
for req in $(cat requirements.txt); do pip install $req; done
```

Finally install RoBO by:

```
python setup.py install
```

Documentation
-------------
You can find the documentation for RoBO here http://automl.github.io/RoBO/

Citing RoBO
-----------

To cite RoBO please reference our BayesOpt paper:
```
@INPROCEEDINGS{klein-bayesopt17,
author    = {A. Klein and S. Falkner and N. Mansur and F. Hutter},
title     = {RoBO: A Flexible and Robust Bayesian Optimization Framework in Python},
booktitle = {NIPS 2017 Bayesian Optimization Workshop},
year      = {2017},
month     = dec,
}
```

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