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.
1 maintainer
Release files for itea 1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| itea-1.1.2.tar.gz | 59.8 kB | Details |
Release files / itea-1.1.2.tar.gz
| Download URL | itea-1.1.2.tar.gz |
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| Size | 59.8 kB |
| Tags | Source |
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