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