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
.
- Examples from older versions moved to
- 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()
.