adaptive-lasso 1.0.0
First public release of adaptive-lasso, a small Python package for adaptive LASSO in linear regression with a Statsmodels-style API.
This release includes:
- an OLS-compatible adaptive LASSO interface
- tests and packaging improvements
- clearer documentation
- a Jupyter notebook with a dummy-data walkthrough
- explicit provenance and attribution notes in the README
The adaptive LASSO method itself comes from Hui Zou’s 2006 paper, and this repository preserves attribution to Alexandre Gramfort’s public demo that influenced the earlier exploratory version. The current codebase is a modern rewrite intended to make the method easier to use in a familiar Python workflow.