# Easy Hyperparameter Search Using Optunity

arXiv: https://arxiv.org/abs/1412.1114 · HTML: https://mlsanity.com/paper/1412.1114/

## Key facts

- Cited by 11 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Dec 2014.

## Built on by (most cited first, 11 of 11)

- [How Much Automation Does a Data Scientist Want?](https://mlsanity.com/paper/2101.03970/) (2021)
- [A Comparative study of Hyper-Parameter Optimization Tools](https://mlsanity.com/paper/2201.06433/) (2022)
- [An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series](https://mlsanity.com/paper/2201.09172/) (2022)
- [Search Algorithms for Automated Hyper-Parameter Tuning](https://mlsanity.com/paper/2104.14677/) (2021)
- [VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees](https://mlsanity.com/paper/2112.00334/) (2021)
- [X Hacking: The Threat of Misguided AutoML](https://mlsanity.com/paper/2401.08513/) (2024)
- [ASP: Automatic Selection of Proxy dataset for efficient AutoML](https://mlsanity.com/paper/2310.11478/) (2023)
- [Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-event Prediction in Chemical Processes](https://mlsanity.com/paper/2409.00485/) (2024)
- [Experimental Evaluation of Machine Learning Models for Goal-oriented Customer Service Chatbot with Pipeline Architecture](https://mlsanity.com/paper/2409.18568/) (2024)
- [Random Search Hyper-Parameter Tuning: Expected Improvement Estimation and the Corresponding Lower Bound](https://mlsanity.com/paper/2208.08170/) (2022)
- [AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting](https://mlsanity.com/paper/2303.10732/) (2023)

## Abstract (arXiv)

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.