itea 1.1.2

Interaction-Transformation Evolutionary Algorithm for Symbolic Regression.

itea-python

itea is a python implementation of the Interaction-Transformation Evolutionary Algorithm described in the paper "Franca, F., & Aldeia, G. (2020). Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. Evolutionary Computation, 1-25."

The Interaction-Transformation (IT) representation is a step towards obtaining simpler and more interpretable results, searching in the mathematical equations space by means of an evolutionary strategy.

Together with ITEA for Classification and Regression, we provide a model-specific explainer based on the Partial Effects to help users get a better understanding of the resulting expressions.

This implementation is based on the scikit-learn package and the implementations of the estimators follow their guidelines.

OBS: There also exists a high-performing Haskell implementation (that comes with a python wrapper) by @folivetti.

Documentation

Documentation is available at readthedocs.