Project details for Optunity

Logo Optunity 0.2.0

by claesenm - July 24, 2014, 10:07:54 CET [ Project Homepage BibTeX Download ]

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Description:

Optunity provides a variety of solvers for hyperparameter tuning problems. A tuning problem is specified by an objective function that provides a score for some tuple of hyperparameters. Specifying the objective function must be done by the user. The software offers a diverse set of solvers to optimize the objective function. A solver determines an optimal tuple of hyperparameters.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Agnostic
Data Formats: Agnostic
Tags: Optimization, Hyperparameter Tuning
Archive: download here

Other available revisons

Version Changelog Date
1.1.1

This minor release has the same feature set as Optunity 1.1.0, but incorporates several bug fixes, mostly related to the specification of structured search spaces.

September 30, 2015, 07:06:17
1.1.0

The following features have been added:

  • new solvers
  • tree of Parzen estimators (requires Hyperopt)
  • Sobol sequences
  • Octave wrapper
  • support for structured search spaces, which can be nested
  • improved cross-validation routines to return more detailed results
  • most Python examples are now available as notebooks
July 19, 2015, 12:23:48
1.0.1

Bugfixes related to Python 3. Added smoke tests for all solvers to prevent similar issues in the future.

December 2, 2014, 15:11:47
1.0.0

Streamlined API, implemented new solvers. This is the first stable release, e.g. no major API changes will be made in the near future.

Optunity now supports MATLAB and R.

December 2, 2014, 12:03:14
0.2.0

Initial Announcement on mloss.org.

July 24, 2014, 10:07:54

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