Contents

ConfigSpace 1.2.0

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Creation and manipulation of parameter configuration spaces for automated algorithm configuration an

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

Stars: 203, Watchers: 203, Forks: 93, Open Issues: 27

The automl/ConfigSpace repo was created 8 years ago and the last code push was 1 months ago.
The project is popular with 203 github stars!

How to Install configspace

You can install configspace using pip

pip install configspace

or add it to a project with poetry

poetry add configspace

Package Details

Author
Matthias Feurer, Katharina Eggensperger, Syed Mohsin Ali, Christina Hernandez Wunsch, Julien-Charles Levesque, Jost Tobias Springenberg, Philipp Mueller, Marius Lindauer, Jorn Tuyls, Eddie Bergman, Arjun Krishnakumar
License
# ConfigSpace Copyright (c) 2014-2021, ConfigSpace developers Matthias Feurer Katharina Eggensperger and others (see commit history). All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the <organization> nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL <COPYRIGHT HOLDER> BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # networkx (nx subpackage) Copyright (C) 2004-2014, NetworkX Developers Aric Hagberg <[email protected]> Dan Schult <[email protected]> Pieter Swart <[email protected]> All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the NetworkX Developers nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Homepage
None
PyPi:
https://pypi.org/project/ConfigSpace/
GitHub Repo:
https://github.com/automl/ConfigSpace

Classifiers

  • Scientific/Engineering
  • Scientific/Engineering/Artificial Intelligence
  • Software Development
No  configspace  pypi packages just yet.

Errors

A list of common configspace errors.

Code Examples

Here are some configspace code examples and snippets.

GitHub Issues

The configspace package has 27 open issues on GitHub

  • Add: Windows and mac testing
  • Add: Binary wheels
  • PiBO Pull Request 3 - PDFs and Densities
  • PiBO Pull Request 2 - Beta Hyperparameters
  • PiBO Pull Request 1 - Bugfixes
  • Document PCS format
  • Diamond cond with OrConjunction
  • Betaparams
  • Inconsistent rounding prinicple between Integral Hyperparameters and conditions results in invalid configuration
  • Definition of hyperparameter equality
  • Improve grid generation
  • Potential speed improvements
  • Manually setting an value of a key of a Config through __setitem__ invalidates it's _values
  • Constraint between 2 hyperparameters
  • Generate neighbors and sample configurations correctly with deeply nested conditions

See more issues on GitHub