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Welcome to ASK's Wiki.

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. To learn more about ASK, have a look at the main documentation.

News

2015-04-07: Adaptive Sampling Kit home moves to Github

2013-09-12: Adaptive Sampling Kit is in Debian. If you are running Debian Unstable, you can install it with:

   $ apt-get install ask

2013-06-22: New ASK release 1.01. Includes by default the GBM weighting algorithm presented in Adaptive Sampling for Performance Characterization of Application Kernels, P. de Oliveira Castro, E. Petit, A. Farjallah, W. Jalby, Concurrency and Computation: Practice and Experience. (2013)

Documentation

ASK documentation is maintained through this wiki.