InterpretML是一个开源软件包，用于训练可解释的模型和解释黑盒系统

v0.1.13 - 2019-08-14

Added

• EBM has new parameter 'binning_strategy'. Can now support quantile based binning.
• EBM now gracefully handles many edge cases around data.
• Selenium support added for visual smoke tests.

Fixed

• Method debug_mode now works in wider environments including WSL.
• Linear models in last version returned the same graphs no matter the selection. Fixed.

Changed

• Testing requirements now fully separate from default user install.
• Internal EBM class has many renames associated with native codebase. Attribute has been changed to Feature.
• Native codebase has many renames. Diff commits from v0.1.12 to v0.1.13 for more details.
• Dependency gevent lightened to take 1.3.6 or greater. This affects cloud/older Python environments.
• Installation for interpret package should now be 'pip install -U interpret'.
• Removal of skope-rules as a required dependency. User now has to install it manually.
• EBM parameter 'cont_n_bins' renamed to 'max_n_bins'.

Experimental (WIP)

• Extensions validation method is hardened to ensure blackbox specs are closely met.
• Explanation methods data and visual, require key of form ('mli', key), to access mli interop.