NannyML/nannyml v0.8.1

on GitHub

Changed

• Thorough refactor of the nannyml.drift.ranker module. The abstract base class and factory have been dropped in favor
  of a more flexible approach.
• Thorough refactor of our Plotly-based plotting modules. These have been rewritten from scratch to make them more
  modular and composable. This will allow us to deliver more powerful and meaningful visualizations faster.

Added

• Added a new univariate drift method. The Hellinger distance, used for continuous variables.
• Added an extensive write-up on when to use which univariate drift method.
• Added a new way to rank the results of univariate drift calculation. The CorrelationRanker ranks columns based on
  the correlation between the drift value and the change in realized or estimated performance. Read all about it in the
  ranking documentation

Fixed

• Disabled usage logging for or GitHub workflows
• Allow passing a single string to the metrics parameter of the result.filter() function, as per special request.