Adaptive sampling kit, a toolkit for sampling big experimental spaces
ASK stands for Adaptive Sampling Kit. Its main goal is accelerating long experiments. Two kinds of variables define an experiment: a response and a set of factors. The response is characterized on the factors' Cartesian product.
When the space is small, the response can be measured for every point in the space. When the space is large, doing an exhaustive measurement is either not possible in terms of execution time or simply not practical. ASK tries to find good approximations of the response by sampling only a small fraction of the space. ASK features multiple active learning algorithms to prioritize the exploration of the interesting parts of the experimental space.
ask [-h] [--force_overwrite] [--replay_only] [--skip_model]
[--skip_reporter] [--version] configuration
the experiment configuration file
show this help message and exit
If a previous output directory is found its contents will be overwritten
(Must be run over a full previous ask run). Skip bootstrap and sampler modules, but runs previous labels through the model and reporter. This option is useful if one wants to run sampling and analyze results separately.
Skip model module. (WARNING: if the chosen control module relies on the output of the model module, this option fails.)
Skip reporter module. (WARNING: if the chosen control module relies on the output of the reporter module, this option fails.)
show program's version number and exit
Copyright (C) 2011-2012 Universite de Versailles St-Quentin-en-Yvelines
The Adaptive Sampling Kit (ASK) is released under the GNU General Public License, version 2. Please refer to the file LICENSE that accompanies your copy of ASK.
For complete documentation, please refer to the ASK manual which should have been installed in /usr/share/doc/ask.