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@SimonBlanke
SimonBlanke committed Sep 24, 2019
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Hyperactive offers a wide variety of basic, meta-heuristic and sequential model-based optimization techniques for machine learning model selection and hyperparameter tuning. This readme provides an overview[*](https://github.com/SimonBlanke/Hyperactive/tree/master/hyperactive/optimizers#disclaimer) and brief explainations of those techniques and proposes a possible field of application.



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<p align="center">
<a href="https://github.com/SimonBlanke/Hyperactive/tree/master/hyperactive/optimizers#local-search">Local Search</a> |
<a href="https://github.com/SimonBlanke/Hyperactive/tree/master/hyperactive/optimizers#random-methods">Random Methods</a> |
<a href="https://github.com/SimonBlanke/Hyperactive/tree/master/hyperactive/optimizers#markov-chain-monte-carlo">Markov Chain Monte Carlo</a> |
<a href="https://github.com/SimonBlanke/Hyperactive/tree/master/hyperactive/optimizers#population-methods">Population Methods</a> |
<a href="https://github.com/SimonBlanke/Hyperactive/tree/master/hyperactive/optimizers#sequential-methods">Sequential Methods</a>
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## Local Search
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