
   *
   *
   *

   I have to setup a simple classification method (mix of factor and
numeric variables) that can iteratively:

   -          Use expert opinion prior on item X1

   -          Classify X1 based on estimated model (training set) and
expert opinion (previous requirement)

   -          Update the model with true classification information
(and eventually give some feedback on expert opinion contribution)

    

   Where can I start from? Is there a library good for this kind of
work?

   Can someone write down some simple example to kick off this
project?

    

   Thanks in advance



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