v1.5

Improvements

• Registered Python models will now include both predict and predict_proba methods.
• Added a new Relationships service for managing links between objects.
• Added a new Reports service for retrieving SAS Visual Analytics reports.
• Added a new Report_Images service for rendering content from reports.
• Additional metadata fields are set when registering an ASTORE model.
• Collections of items should now return an instance of PagedList for lazy loading of results.
• Module steps can now be called using module.step(df) where df is the row of a DataFrame or Numpy array.
• register_model sets additional project properties when registering an ASTORE model.

Changes

• Replaced the raw parameter of the request methods with a format parameter, allowing more control over the
  returned value.
• The get_file_content method of the Files service now returns the actual content instead of the file metadata.
• JSON output when using sasctl from the command line is now formatted correctly.

Bugfixes

• model_publish.delete_destination now works correctly.

v1.4.6

Bugfixes

• Fixed an issue where the REQUESTS_CA_BUNDLE environment variable was taking precedence over the verify_ssl parameter.

v1.4.5

Changes

• Saving of package information can now be disabled using the record_packages parameter of register_model.

Bugfixes

• Added support for uint data types to the register_model task.
• Fixed an issue where long package names caused register_model to fail.
• Session creation now works with older versions of urllib3.

v1.4.4

Bugfixes

• Match performance definitions based on project instead of model.

v1.4.3

Bugfixes

• Model versioning now works correctly for Python models
• Fixed an issue where None values in Python caused issues with MAS models.

v1.4.2

Bugfixes

• Fixed project properties when registering a model from ASTORE.
• Fixed model metadata when registering a datastep model.

v1.4.1

Bugfixes

• Fixed an issue where string inputs to Python models were incorrectly handled by DS2.

v1.4

Changes

• PyMAS.score_code now supports a dest='Python' option to retrieve the generated Python wrapper code.
• register_model task includes a python_wrapper.py file when registering a Python model.
• Improved error message when user lacks required permissions to register a model.

Bugfixes

• Fixed an issue with CAS/EP score code that caused problems with model performance metrics.

v1.3

Improvements

• Added update_performance task for easily uploading performance information for a model.
• New (experimental) pyml2sas sub-package provides utilities for generating SAS code from Python gradient boosting models.
• New (experimental) methods for managing workflows added to model_management service.

Changes

• register_model task automatically captures installed Python packages.
• All list_xxx methods return all matching items unless a limit parameter is specified.
• Improved API documentation.
• Updated full_lifecycle example with performance monitoring.

v1.2.5

Changes

• Registering an ASTORE model now creates an empty ASTORE file in Model Manager to be consistent with Model Studio behavior.

Bugfixes

• microanalytic_score.define_steps now works with steps having no input parameters.
• Fixed an issue where score code generated from an ASTORE model lacked output variables.