Release Note for 0.04

What's Changed

Major Changes:

• @statmlben Revised Classes:

  • ReHLine: This class is designed for manually setting up problems, providing users with greater flexibility and control.
  • plqERM_ridge: This class focuses on solving Empirical Risk Minimization (ERM) problems, enhancing the library's capabilities in this area.

• @statmlben Documentation Improvements:

  • Extensive enhancements have been made to the documentation, ensuring clearer guidance and support for users.

Minnor Changes:

• add epsilon-insensitive loss for SVR by @Aoblex in #5
• Add a linear term to rehline.cpp by @aorazalin in #4

New Contributors

• @Aoblex made their first contribution in #5
• @aorazalin made their first contribution in #4

Full Changelog: v0.0.3...v0.0.4

Release Note for 0.03

Version 0.03

New Features

• Wheel Package Support for Linux and Windows:
  • Added pre-built wheel packages for Linux and Windows operating systems.
  • This simplifies the installation process and eliminates the need for manual compilation.

Thank you @JiantingFeng for contributing the GitHub Action file.

What's Changed

• test: set random seed and add default C by @JiantingFeng in #1
• Fix Windows Build Issue by Removing poetry build Command by @JiantingFeng in #2
• Chore and CI Enhancements by @JiantingFeng in #3

New Contributors

• @JiantingFeng made their first contribution in #1

Full Changelog: v0.1...v0.0.3

rehline-python v0.1

We are delighted to announce a new GitHub release of "ReHLine", a dedicated solver for Regularized Composite ReLU-ReHU Loss Minimization.