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Creation and manipulation of parameter configuration spaces for automated algorithm configuration and hyperparameter tuning.

Project description

ConfigSpace

A simple python module to manage configuration spaces for algorithm configuration and hyperparameter optimization tasks. Includes various scripts to translate between different text formats for configuration space description. Distributed under BSD 3-clause, see LICENSE except all files in the directory ConfigSpace.nx, which are copied from the networkx package and licensed under a BSD license.

Build Status

The documentation can be found at https://automl.github.io/ConfigSpace/master/. Further examples can be found in the SMAC documentation.

Citing the ConfigSpace

@article{
    title   = {BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters},
    author  = {M. Lindauer and K. Eggensperger and M. Feurer and A. Biedenkapp and J. Marben and P. Müller and F. Hutter},
    journal = {arXiv:1908.06756 {[cs.LG]}},
    date    = {2019},
}

Project details


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