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treeopt

Continuous Integration codecov Documentation Status GitHub Code style: black Updates

A python module for simulation-based optimization.

Project Features

This project is currently under development and in a very experimental state. The goal is to provide a simulation-based optimization framework. The functionality builds on the tools from the following libraries.

Getting Started

Install using

pip install git+https://github.com/hbrs-cse/treeopt.git

and check out the examples.

The project's documentation contains a section to help you get started as a developer or user of the library. Read the Contribution Guide if you would like to contribute to the project.

Resources

Below are some handy resource links.

  • Project Documentation
  • Surrogate Modeling Toolbox
  • SciPy
  • Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary.
  • Sphinx is a tool that makes it easy to create intelligent and beautiful documentation, written by Geog Brandl and licnsed under the BSD license.
  • pytest helps you write better programs.
  • GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files.

Authors

  • Alexander Busch - Author - github
  • Jan Kleinert - Initial work - github

See also the list of contributors who participated in this project.