v0.4.3 - 2023-08-04
Changed
- Training speed improvements due to the use of SIMD on Intel processors in PyPI release
Results may vary, but expect approx 2.75x faster for classification and 1.3x faster for RMSE regression - Changed from using 64-bit floats to using 32-bit floats internally. Regression performed on datasets with large
targets that sum to greater than 3.4E+38 will overflow.
Fixed
- Fixed an issue with the monotonize function that would occur when monotonizing a feature with missing values
- Resolved issue where excluding the 1st feature would cause an exception