pysampling 0.1.2

Multi-Objective Optimization in Python

pysampling

You can find the detailed documentation here: https://www.egr.msu.edu/coinlab/blankjul/pysampling/

Installation

The framework is available at the PyPi Repository:

pip install -U pysampling

Usage

The method to be used for sampling using different algorithm must be import from pysampling.sample. Here, we use Latin Hypercube Sampling to generate 50 points in 2 dimensions.

import matplotlib.pyplot as plt
from pysampling.sample import sample

X = sample("lhs", 50, 2)

plt.scatter(X[:, 0], X[:, 1], s=30, facecolors='none', edgecolors='r')
plt.show()

Contact

Feel free to contact me if you have any question:

Julian Blank (blankjul [at] egr.msu.edu)
Michigan State University
Computational Optimization and Innovation Laboratory (COIN)
East Lansing, MI 48824, USA