This repository implements an algorithm for sampling candidates from constrained high dimensional space. This algorithm is detailed by S. Golchi et al in "Monte Carlo based Designs for Constrained Domains".

To install and run this sampling method the following are required.

1. pip3
2. python 3.6.*

Below are steps to install this API:

1. sudo pip3 install --upgrade pip setuptools wheel
2. git clone git@github.com:odibua/citrine_challenge.git && cd citrine_challenge
3. pip3 install -r requirements.txt
4. pip3 install -r third_party_requirements.txt
5. chmod +x sampler.sh

1. sampler.sh assumes that python 3.6.* is run using python3 <script>.py If this is not the case modify line 8 of sampler.sh to be python sampler.py $1 $2 $3 $4
2. ./sampler.sh <input_file> <output_file> <n_results>