Add support for "fixed_dims" in "get_one_exchange_neighbourhood" and "sample_configuration" methods.
It allows us to fix partial CategoricalHyperparameter in ConfigurationSpace and sample the remaining hyperparameters.
See test/test_util.py 'test_get_one_exchange_neighbourhood' and test/test_configuration_space.py 'test_sample_configuration', the lines under the comment '# test fixed_dims' show how to use it.
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.
The documentation can be found at https://automl.github.io/ConfigSpace/master/. Further examples can be found in the SMAC documentation.
@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},
}