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object --+ | Composite.Composite --+ | BayesComposite
a composite model using Bayesian statistics in the Decision Proxy **Notes** - typical usage: 1) grow the composite with AddModel until happy with it 2) call AverageErrors to calculate the average error values 3) call SortModels to put things in order by either error or count 4) call Train to update the Bayesian stats.
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classifies the given example using the entire composite **Arguments** - example: the data to be classified - threshold: if this is a number greater than zero, then a classification will only be returned if the confidence is above _threshold_. Anything lower is returned as -1. **Returns** a (result,confidence) tuple
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