ask - 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
- -h, --help
- show this help message and exit
- If a previous output directory is found its contents will
- (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
- 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
- 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.