v1.9.0

Improvements

• sasctl.pzmm refactored to follow PEP8 standards, include type hinting, and major expansion of code coverage.
  • sasctl.pzmm functions that can generate files can now run in-memory instead of writing to disk.
• Added custom KPI handling via pzmm.model_parameters, allowing users to interact with the KPI table generated by model performance via API.
  • Added a method for scikit-learn models to generate hyperparameters as custom KPIs.
• Reworked the pzmm.write_score_code() logic to appropriately write score code for binary classification, multi-class classification, and regression models.
• Updated all examples based on sasctl.pzmm usage and model assets.
  • Examples from older versions moved to examples/ARCHIVE/vX.X.
• DataStep or ASTORE models can include additional files when running tasks.register_model().

Bugfixes

• Fixed an issue where invalid HTTP responses could cause an error when using Session.version_info().