1.3.2

• Fixes bug in multi-target output when max_samples_leaf > 1 (#30)
• Updates quantile forest examples (#31)
• Updates and fixes to documentation (#33)

1.3.1

• Fixes single-output performance regression (#29)

1.3.0

• Support for multiple-output quantile regression (#26)
• Updated conformalized quantile regression example (#28)

1.2.5

• Fixes weighted leaf and quantile bug in #27

1.2.4

• Uses base model parameter validation when available.
• Resolves Cython 3 deprecation warnings.

1.2.3

• Fixes bug that could prevent interpolation from being correctly applied (#15)
• Updates to documentation and docstrings

1.2.2

• Optimized performance for predictions when max_samples_leaf = 1 (#13)
• Updated documentation and examples (#14)

1.2.1

• More efficient calculation of weighted quantiles (#11).
• Support for Python version 3.12

1.2.0

• Adds optional default_quantiles parameter to the model initialization
• Updates to documentation

1.1.3

• Fixes building from the source distribution
• Minor updates to documentation