v0.6.2 - 2024-06-22
Added
- pass optional kwargs to DecisionTreeClassifier in PR #537 by @busFred
- support for multiclass purification
- support for higher dimensional purification
- allow higher levels of purification than would be supported via the tolerance parameter
Changed
- numpy 2.0 support for EBMs
- update documentation regarding monotonicity in PR #531 by @Krzys25
- moved purification utility from "interpret/glassbox/_ebm/_research" to "interpret.utils"
Fixed
- possible fix for issue #543 where merge_ebms was creating unexpected NaN values