Variable Discretisation#

Feature-engine’s discretisation transformers transform continuous variables into discrete features. This is accomplished, in general, by sorting the variable values into continuous intervals.

Summary

Transformer	Functionality
`EqualFrequencyDiscretiser()`	Sorts values into intervals with similar number of observations.
`EqualWidthDiscretiser()`	Sorts values into intervals of equal size.
`ArbitraryDiscretiser()`	Sorts values into intervals predefined by the user.
`DecisionTreeDiscretiser()`	Replaces values by predictions of a decision tree, which are discrete

Additional transformers for discretisation#

For discretisation using K-means, check Scikit-learn’s KBinsDiscretizer.

RareLabelEncoder

EqualFrequencyDiscretiser