Adaptive Sampling Kit (ASK) is a toolkit for sampling big experimental spaces. It features multiple active learning algorithms to prioritize the exploration of the interesting parts of the experimental space.
ASK user manual is available at the following URL
https://github.com/benchmark-subsetting/adaptive-sampling-kit/wiki/Chapter-1:-Introduction
Copyright (c) 2011-2015, Université de Versailles St-Quentin-en-Yvelines and Contributors ASK is released under the GNU General Public License, version 2. Please refer to LICENSE, for details.
For any question regarding ASK, please write to the adaptive sampling kit mailing list at adaptive-sampling-kit@googlegroups.com.
For bug reports, features requests or contributions please use the project tracker.