Metadata-Version: 2.1
Name: optimiser
Version: 0.1.0
Summary: Generic implementations of some numerical optimization methods.
Home-page: https://github.com/Nikolay-Lysenko/optimiser
Author: Nikolay Lysenko
Author-email: nikolay-lysenco@yandex.ru
License: MIT
Description: [![Build Status](https://travis-ci.org/Nikolay-Lysenko/optimiser.svg?branch=master)](https://travis-ci.org/Nikolay-Lysenko/optimiser)
        [![codecov](https://codecov.io/gh/Nikolay-Lysenko/optimiser/branch/master/graph/badge.svg)](https://codecov.io/gh/Nikolay-Lysenko/optimiser)
        [![Maintainability](https://api.codeclimate.com/v1/badges/1ef4e3ac74a4d7ed2291/maintainability)](https://codeclimate.com/github/Nikolay-Lysenko/optimiser/maintainability)
        [![PyPI version](https://badge.fury.io/py/optimiser.svg)](https://badge.fury.io/py/optimiser)
        
        
        # Optimiser
        
        ## Overview
        
        This Python package is a library with implementations of some optimization techniques. Current content is shown in the below table:
        
        Method | Implementation
        :----: | :------------:
        [Cross-Entropy](https://github.com/Nikolay-Lysenko/optimiser/blob/master/docs/crossentropy.pdf) | [optimize_with_crossentropy_method](https://github.com/Nikolay-Lysenko/optimiser/blob/master/optimiser/population/crossentropy.py)
        
        Of course, just one function is not that much...
        
        ## Installation
        
        ```bash
        pip install optimiser
        ```
        
        ## Usage
        
        All functions from the package (especially, those of them that are designed for end users) have a built-in documentation that describes every argument. To read it, look at a docstring or, alternatively, run from Python shell a command like this one:
        ```python
        help(optimize_with_crossentropy_method)
        ```
        
Keywords: blackbox_optimization,numerical_optimization,crossentropy
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6
Description-Content-Type: text/markdown
