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c50py


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Author: David Díaz Solís
Summary: C5.0 decision trees and rulesets for Python: native categorical splits, missing values, boosting and rules exported to SQL, as scikit-learn estimators
Latest version: 0.5.2
Required dependencies: numpy | scikit-learn
Optional dependencies: graphviz | matplotlib | pandas | pytest

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