v1.1

What's Changed

Model Enhancements

• Support for missing values
  xplainable now inherently handles missing values out of the box. This is a useful feature for understanding missing values in your data and their effect on your model without imputing or dropping nan values.
• Improved categorical scoring
  xplainable used to group categories, but we found that this produced undesirable results and often under-fitted categorical features. v1.1 now handles all categories separately for enhanced performance
• Improved performance on regression modelling
  The initial fit on the xplainable regression model has improved out of the box allowing faster execution times for optimisation pipelines

Structural changes

• The model profile structure has been updated to accommodate the above enhancements which required a major refactor of much of the code base