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A flexible Bayesian optimization framework.

Project description

# Parallel Asynchronous Remote Optimization

[![Documentation Status](](
[![Build Status](](
[![License: MIT](](

This framework performs Asynchronous Bayesian Optimization with support for remote evaluations, resilient to hardware/software failures

Documentation for the software is available [here](

![1d example](bo_animation.gif =100x20)

### How do I get set up? ###

This code is compatible with Python3.5, and requires several modules. The requirements are available in `requirements.txt`. If you are doing a tar ball installation, do

python3.5 install -r requirements.txt
python3.5 install


If you are using a pip installation, simply do

python3.5 -m pip install paryopt

The publication related to the implementation can be found [here](

### Who do I talk to? ###

[Balaji Pokuri](

[Alec Lofquist](

[Baskar Ganapathysubramanian](

Project details

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