Tools for producing debugging/tuning data for Pattern Recognition algorithms
This introduces (and updates) tools used for gathering data from within pattern recognition algorithms, e.g. for tuning of neural networks for matching or ghost rejection. In principle this is, however, more generally useful and will be extended in the future to be able to quickly dump statistics of important variables from within the pattern reco algos.
Goes with Moore!1747 (merged) for example and testing.
Edited by Andre Gunther