Interaction-Transformation Evolutionary Algorithm for Symbolic Regression.
Project description
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.
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