1.5.0 – Sep 24, 2024

Features

• Overhaul and better integration of API documentation and web page:
  • Switch from sphinx to mkdocs
  • Restructuring of User Guide, multiple amendments to documentation
• Introduce strict typing regiment for feature learning aggregations and loss functions
• Clean up and maintenance of example notebooks, make them executable in Colab
• More informative progress bar and status updates using rich
• Completely reworked IO
  • Leveraging PyArrow to improve reliability, speed and maintainability
• Introduce reflect-cpp for parsing and de/serialization
• Introduce overhauled getML Docker runtime available from Docker Hub, allowing for easy setup
  • See docker-related section of the new getML documentation for details

Developer-focused

• Complete rework of the build pipeline (docker and linux native)
  • Introduce CCache, conan, vcpkg
  • User multi-stage docker builds leveraging buildx and buildkit
  • Centralized VERSION
• Ruff for linting and formatting
• Hatch for python package management

Bug fixes

• Generalization of Placeholder.join's on argument
• Improved timestamp handling
• Slicing improvements
  • Slicing of DataFrames returned wrong results: Remove short circuit for slices with upper bound
  • Introduce set semantics for slicing of DataFrame (return empty collections instead of erroring)
• Fix displaying of parameter lists with values that exceed the presentable width
• Fix displaying of DataFrames with one row or less
• Fix progress bar output on Google Colab