IBLM 1.0.2
Major changes
iblm class model objects now require factor variables
for categorical features. Users should explicitly convert character
columns to factors before training.
New features
- Added “IBLM” vignette providing a comprehensive walkthrough of
package functionality.
Bug fixes
- Fixed bug where all variable types were converted to numeric before
training and predicting of booster model, which could lead to improper
handling of categorical features.
Internal changes
- Updated to maintain compatibility with xgboost v3.1.2.1. Package now
requires xgboost >= 3.1.2.1.
IBLM 1.0.0