About:
Pyriel is a Python system for learning classification rules from data. Unlike other rule learning systems, it is designed to learn rule lists that maximize the area under the ROC curve (AUC) instead of accuracy. Pyriel is mostly an experimental research tool, but it's robust and fast enough to be used for lightweight industrial data mining.
Changes:
1.5 Changed CF (confidence factor) to do LaPlace smoothing of estimates.
New flag "--score-for-class C" causes scores to be computed relative
to a given (positive) class. For two-class problems.
Fixed bug in example sampling code (--sample n)
Fixed bug keeping old-style example formats (terminated by dot)
from working.
More code restructuring.
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