Metadata-Version: 2.0
Name: noisyopt
Version: 0.2.2
Summary: Python library for optimization of noisy functions
Home-page: http://noisyopt.readthedocs.io/
Author: Andreas Mayer
Author-email: andisspam@gmail.com
License: MIT
Download-URL: http://github.com/andim/noisyopt
Platform: OS Independent
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
Requires-Dist: numpy
Requires-Dist: scipy

Noisyopt is a library for local optimization of noisy objective functions.

Optimization in the presence of stochasticity in the objective function
evaluation is challenging. This library provides simple, robust algorithms
to solve this problem.

For more info see the `documentation <http://noisyopt.readthedocs.io/en/latest/>`_ or the `source code <http://github.com/andim/noisyopt>`_.


