1.3.11

What's Changed

• Refactor Leaf Mapping by @reidjohnson in #80
• Update Build Linting by @reidjohnson in #81
• Check monotonic_cst Before Fit by @reidjohnson in #82
• Bump pypa/gh-action-pypi-publish from 1.9.0 to 1.10.0 by @dependabot in #83
• Fix Unaggregated Quantile Ranks by @reidjohnson in #84
• Fix Cython Build Warnings by @reidjohnson in #86
• Bump pypa/gh-action-pypi-publish from 1.10.0 to 1.10.1 by @dependabot in #85
• Fix Multi-target Serialization by @reidjohnson in #88
• Fix Doc Tests by @reidjohnson in #89

Full Changelog: v1.3.10...v1.3.11

1.3.10

What's Changed

• Optimize Leaf Node Mapping by @reidjohnson in #78
• Refactor Helper Functions by @reidjohnson in #79
• Update examples, documentation, and build

Full Changelog: v1.3.9...v1.3.10

1.3.9

What's Changed

• Fix Reproduction of scikit-learn Trees with MAE Criterion by @reidjohnson in #77
• Update documentation and examples

Full Changelog: v1.3.8...v1.3.9

1.3.8

What's Changed

• Bump pypa/cibuildwheel from 2.19.1 to 2.19.2 by @dependabot in #63
• Update Interpolation Docstring by @reidjohnson in #64
• Add Hugging Face Hub Example by @reidjohnson in #65
• Fix Doc Warning by @reidjohnson in #66
• Add Tree SHAP Example by @reidjohnson in #67
• Update Example Plots by @reidjohnson in #68
• Add Proximity Counts Example by @reidjohnson in #70
• Add Quantile Ranks Example by @reidjohnson in #69
• Fix Feature Name Warning by @reidjohnson in #71
• Bump pypa/cibuildwheel from 2.19.2 to 2.20.0 by @dependabot in #72
• Fix for monotonic_cst by @reidjohnson in #74
• Fix Monotonic Constraint Performance by @reidjohnson in #75

Full Changelog: v1.3.7...v1.3.8

1.3.7

What's Changed

• Compatibility for NumPy 2.0 by @reidjohnson in #59
• Bump pypa/gh-action-pypi-publish from 1.8.14 to 1.9.0 by @dependabot in #56
• Bump pypa/cibuildwheel from 2.18.1 to 2.19.1 by @dependabot in #57

Full Changelog: v1.3.6...v1.3.7

1.3.6

What's Changed

• Fix import of scikit-learn 1.5 parse_version (#52)
• Update pre-commit hooks (#53)

Full Changelog: v1.3.5...v1.3.6

1.3.5

• Fixes fractional max_samples (#47)
• Adds support for monotonic_cst (#49)

1.3.4

• Reorders multi-target outputs (#35)
• Adds tests for model serialization (#36)
• Updates and fixes to documentation and examples

1.3.3

• Sets default value of weighted_leaves at prediction time to False (#34).
• Updates and fixes to documentation and examples

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)