Module BayesComposite
source code
code for dealing with Bayesian composite models
For a model to be useable here, it should support the following API:
- _ClassifyExample(example)_, returns a classification
Other compatibility notes:
1) To use _Composite.Grow_ there must be some kind of builder
functionality which returns a 2-tuple containing (model,percent accuracy).
2) The models should be pickleable
3) It would be very happy if the models support the __cmp__ method so that
membership tests used to make sure models are unique work.
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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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CompositeToBayesComposite(obj)
converts a Composite to a BayesComposite
if _obj_ is already a BayesComposite or if it is not a _Composite.Composite_ ,
nothing will be done. |
source code
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converts a BayesComposite to a Composite.Composite
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