Easy Hyperparameter Search Using Optunity
Marc Claesen, Jaak Simm, Dusan Popovic, Yves Moreau, Bart De Moor

TL;DR
Optunity is a user-friendly, flexible, and open-source Python package that simplifies hyperparameter optimization across various machine learning environments with multiple optimization algorithms.
Contribution
It introduces a versatile hyperparameter optimization toolkit with easy integration, supporting diverse solvers and multiple programming environments.
Findings
Supports various optimization algorithms including evolutionary and particle swarm methods.
Designed for ease of use, flexibility, and interoperability.
Open-source and freely available online.
Abstract
Optunity is a free software package dedicated to hyperparameter optimization. It contains various types of solvers, ranging from undirected methods to direct search, particle swarm and evolutionary optimization. The design focuses on ease of use, flexibility, code clarity and interoperability with existing software in all machine learning environments. Optunity is written in Python and contains interfaces to environments such as R and MATLAB. Optunity uses a BSD license and is freely available online at http://www.optunity.net.
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Taxonomy
TopicsMachine Learning and Data Classification · Metaheuristic Optimization Algorithms Research · Advanced Multi-Objective Optimization Algorithms
