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bayesian_optimization
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Bayesian optimization
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Download README
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bayesian_optimization
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Summary ======= This repository contains some basic code for Bayesian optimization Installation ============ Install the current development version of scikit-learn (or sklearn version 0.18 once this is available) git clone git@github.com:scikit-learn/scikit-learn.git cd sklearn sudo python setup.py install Install `bayesian_optimization` git clone git@git.hb.dfki.de:jmetzen/bayesian_optimization.git cd bayesian_optimization sudo python setup.py install Usage ===== Some usage examples are contained in the folder "examples". To reproduce the results from the ICML 2016 paper "Minimum Regret Search for Single- and Multi-Task Optimization", please execute the jupyter notebook "examples/mrs_evaluation.ipynb." The directory bolero_bayes_opt contains modules which can be used with the external package BOLeRO, which is not yet open source and can thus be ignored for the moment.
