Metadata-Version: 2.1
Name: matter-golem
Version: 1.0
Summary: Golem: An Algorithm for Robust Experiment and Process Optimization
Home-page: https://github.com/aspuru-guzik-group/golem
Author: Matteo Aldeghi
Author-email: matteo.aldeghi@vectorinstitute.ai
License: MIT
Description: # Golem: An algorithm for robust experiment and process optimization
        [![Build Status](https://github.com/aspuru-guzik-group/golem/actions/workflows/ci.yml/badge.svg)](https://github.com/aspuru-guzik-group/golem/actions/workflows/ci.yml)
        [![codecov](https://codecov.io/gh/aspuru-guzik-group/golem/branch/master/graph/badge.svg?token=pHQ8Z50qf8)](https://codecov.io/gh/aspuru-guzik-group/golem)
        
        ``Golem`` is an algorithm for robust optimization. It can be used in conjunction with any optimization algorithms or
        design of experiment strategy of choice. ``Golem`` helps identifying optimal solutions that are robust to input uncertainty, 
        thus ensuring the reproducible performance of optimized experimental protocols and processes. It can be used to analyze 
        the robustness of past experiments, or to guide experiment planning algorithms toward robust solutions on the fly. For 
        more details on the algorithm and its behaviour please refer to the [publication](https://arxiv.org/abs/2103.03716) and
        the [documentation](https://aspuru-guzik-group.github.io/golem/).
        
        ###  Installation
        ``Golem`` can be installed with ``pip``:
        
        ```
        pip install matter-golem
        ```
        
        ### Dependencies
        The installation requires:
        * ``python >= 3.7``
        * ``numpy``
        * ``scipy >= 1.4``
        * ``pandas``
        * ``scikit-learn``
        
        ###  Citation
        ``Golem`` is research software. If you make use of it in scientific publications, please cite the following article:
        
        ```
        @misc{golem,
              title={Golem: An algorithm for robust experiment and process optimization}, 
              author={Matteo Aldeghi and Florian Häse and Riley J. Hickman and Isaac Tamblyn and Alán Aspuru-Guzik},
              year={2021},
              eprint={2103.03716},
              archivePrefix={arXiv},
              primaryClass={math.OC}
              }
        ```
        
        ###  License
        ``Golem`` is distributed under an MIT License.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.7
Description-Content-Type: text/markdown
