Optunityhttp://mloss.orgUpdates and additions to OptunityenWed, 30 Sep 2015 07:06:17 -0000Optunity 1.1.1<html><p>Optunity provides a variety of solvers for hyperparameter tuning problems. The software offers a diverse set of solvers to optimize hyperparameters. </p> <p>The first major release of Optunity (stable). For documentation, please refer to Optunity is compatible with Python 2.7 and above. </p> <p>The following features are available: </p> <p>Wide variety of solvers: </p> <ul> <li> particle swarm optimization </li> <li> Nelder-Mead </li> <li> grid search </li> <li> random search </li> <li> Sobol sequences </li> <li> CMA-ES (requires DEAP and NumPy) </li> <li> TPE (requires Hyperopt and NumPy) </li> </ul> <p>Generic cross-validation functionality: </p> <ul> <li> support for strata and clusters </li> <li> folds are reusable for multiple learning algorithm/solver combinations </li> </ul> <p>Various quality metrics for models (score/loss functions). </p> <p>Univariate domain constraints on hyperparameters. </p> <p>Support for parallel objective function evaluations. </p> <p>Support for structured search spaces. </p> <p>This release provides Optunity functionality in the following environments: * MATLAB <em> R </em> Octave </p></html>Marc Claesen, Jaak SimmWed, 30 Sep 2015 07:06:17 -0000 tuning