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
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BayesCompositeToComposite(obj)
converts a BayesComposite to a Composite.Composite |
source code
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Imports:
numpy,
Composite
converts a Composite to a BayesComposite
if _obj_ is already a BayesComposite or if it is not a _Composite.Composite_ ,
nothing will be done.
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