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:

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.

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: Agnostic

Tags: Optimization, Hyperparameter Tuning

Archive: download here

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