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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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