Description:

Optunity provides a variety of solvers for hyperparameter tuning problems. The software offers a diverse set of solvers to optimize hyperparameters.

The first major release of Optunity (stable). For documentation, please refer to http://docs.optunity.net. Optunity is compatible with Python 2.7 and above.

The following features are available:

Wide variety of solvers:

• particle swarm optimization
• Nelder-Mead
• grid search
• random search
• CMA-ES (requires DEAP and NumPy)

Generic cross-validation functionality:

• support for strata and clusters
• folds are reusable for multiple learning algorithm/solver combinations

Various quality metrics for models (score/loss functions).

Univariate domain constraints on hyperparameters.

Support for parallel objective function evaluations.

This release provides Optunity functionality in the following environments: MATLAB R

Changes to previous version:

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

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: Agnostic

Tags: Optimization, Hyperparameter Tuning

Archive: download here

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