Version 0.6.2

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