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classifip

The classifip project is a library of imprecise probabilistic classifiers.

The goal is to offer a simple-to-use framework to implement and use imprecise probabilistic classifiers.

The library accepts arff files as data sets format, so that WEKA files can be used directly.

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A python imprecise probability classififer library

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