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https://github.com/claesenm/optunity
optimization routines for hyperparameter tuning
https://github.com/claesenm/optunity
Last synced: 3 months ago
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optimization routines for hyperparameter tuning
- Host: GitHub
- URL: https://github.com/claesenm/optunity
- Owner: claesenm
- License: other
- Created: 2014-05-28T17:29:11.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2023-11-25T01:31:29.000Z (12 months ago)
- Last Synced: 2024-06-20T17:47:15.291Z (5 months ago)
- Language: Jupyter Notebook
- Homepage: http://www.optunity.net
- Size: 3.6 MB
- Stars: 414
- Watchers: 24
- Forks: 79
- Open Issues: 52
-
Metadata Files:
- Readme: README.rst
- License: LICENSE.txt
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README
.. image:: logo/logo.png
:alt: Optunity
:align: left.. image:: https://travis-ci.org/claesenm/optunity.svg?branch=master
:target: https://travis-ci.org/claesenm/optunity
:align: right.. image:: https://readthedocs.org/projects/optunity/badge/?version=latest
:alt: Documentation Status
:scale: 100%
:target: https://readthedocs.org/projects/optunity/.. image:: https://img.shields.io/pypi/dm/Optunity.svg
:target: https://pypi.python.org/pypi/optunity.. image:: https://img.shields.io/pypi/v/Optunity.svg
:target: https://pypi.python.org/pypi/optunity=========
Optunity is a library containing various optimizers for hyperparameter tuning.
Hyperparameter tuning is a recurrent problem in many machine learning tasks,
both supervised and unsupervised. Tuning examples include optimizing
regularization or kernel parameters.From an optimization point of view, the tuning problem can be considered as
follows: the objective function is non-convex, non-differentiable and
typically expensive to evaluate.This package provides several distinct approaches to solve such problems including
some helpful facilities such as cross-validation and a plethora of score functions.The Optunity library is implemented in Python and allows straightforward
integration in other machine learning environments, including R and MATLAB.If you have any comments, suggestions you can get in touch with us at gitter:
.. image:: https://badges.gitter.im/Join%20Chat.svg
:alt: Join the chat at https://gitter.im/claesenm/optunity
:target: https://gitter.im/claesenm/optunity?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badgeTo get started with Optunity on Linux, issue the following commands::
git clone https://github.com/claesenm/optunity.git
echo "export PYTHONPATH=$PYTHONPATH:$(pwd)/optunity" >> ~/.bashrcAfterwards, importing ``optunity`` should work in Python::
#!/usr/bin/env python
import optunityOptunity is developed at the STADIUS lab of the dept. of electrical engineering
at KU Leuven (ESAT). Optunity is free software, using a BSD license.For more information, please refer to the following pages:
http://www.optunity.netContributors
============The main contributors to Optunity are:
* Marc Claesen: framework design & implementation, communication infrastructure,
MATLAB wrapper and all solvers.* Jaak Simm: R wrapper.
* Vilen Jumutc: Julia wrapper.