Welcome to PyLWL’s documentation!¶

PyLWL is an open-source Python library that provides a unified, extensible, and user-friendly implementation of Locally Weighted Learning (LWL) algorithms for supervised learning. It implements differentiable and gradient-descent-based local models for both classification and regression tasks.

• Free software: GNU General Public License (GPL) V3 license

• Provided Estimators: LwClassifier, LwRegressor, GdLwClassifier, GdLwRegressor

• Supported Kernel Functions: Gaussian, Epanechnikov, Cosin…

• Supported performance metrics: >= 67 (47 regressions and 20 classifications)

• Documentation: https://pylwl.readthedocs.io

• Python versions: >= 3.8.x

• Dependencies: numpy, scipy, scikit-learn, pandas, permetrics, torch

Indices and tables¶

• Index

• Module Index

• Search Page