rdkit.ML.Composite.BayesComposite

Package rdkit :: Package ML :: Package Composite :: Module BayesComposite |
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# 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.

Classes | [hide private]
| BayesComposite a composite model using Bayesian statistics in the Decision Proxy

Functions | [hide private]
CompositeToBayesComposite(obj) converts a Composite to a BayesComposite | source code
BayesCompositeToComposite(obj) converts a BayesComposite to a Composite.Composite | source code

Variables | [hide private]
| __package__ = ``'``rdkit.ML.Composite``'``

Imports: numpy, Composite

Function Details | [hide private]

### CompositeToBayesComposite(obj) | source code
    converts a Composite to a BayesComposite

    if _obj_ is already a BayesComposite or if it is not a _Composite.Composite_ ,
     nothing will be done.