Major update

We're excited to announce the release of version 2.0.0 of the asgl package, which introduces significant enhancements and new features to improve usability and performance. Below are the key highlights of this release:

Scikit-learn Compatibility: The new Regressor class now offers full compatibility with scikit-learn, allowing users to leverage scikit-learn's powerful tools for hyperparameter optimization, model evaluation, and performance metrics. This integration enables seamless use of functions like sklearn.model_selection.GridSearchCV for tuning and evaluating models.

Deprecation of ASGL Class: The old ASGL class is still available but will now raise a DeprecationWarning. It remains functional but is no longer supported and will be removed in future versions. Users are encouraged to transition to the new Regressor class for continued support and access to the latest features.

This release marks a significant step forward in making the asgl package more versatile and user-friendly, particularly for those already familiar with the scikit-learn ecosystem. We highly recommend users to update to this latest version to take advantage of these improvements.

For detailed information on changes and how to migrate to the new Regressor class, please refer to the updated README and documentation.