Naive bayesian text classifier - documentation

 A memory-based, optional-persistence naive bayesian text classifier.
 This work is heavily inspired by the Python "redisbayes" module found here:
 https://github.com/jart/redisbayes and https://pypi.python.org/pypi/redisbayes
 This was written to alleviate the network/time requirements when
 using the bayesian classifier to classify large sets of text, or when
 attempting to train with very large sets of sample data.
 .
 This is the common documentation package.