Version 0.6.15

v0.6.15 - 2025-07-08

Added

• added estimate_mem function to estimate the memory usage of an EBM model

Changed

• small decrease in required memory usage for EBM models

Version 0.6.14

v0.6.14 - 2025-07-04

Fixed

• removed potential large delay introduced in v0.6.13 while fitting EBMs on some datasets

Version 0.6.13

v0.6.13 - 2025-06-28

Added

• support for early termination of EBM training using a callback mechanism

Version 0.6.12

v0.6.12 - 2025-06-17

Changed

• support for numpy 2.3.x
• increased default number of interaction terms

v0.6.11

v0.6.11 - 2025-06-05

Changed

• increased max_rounds to 50,000
• possibly faster prediction in some scenarios (unverified)
• remove obsolete dash components from requirements

Version 0.6.10

v0.6.10 - 2025-03-26

Added

• reorder_classes function which allows reordering of the classes after fitting
• support for ARM based Linux

Changed

• changed default to max_leaves=2 for classification
• changed default to n_jobs=2
• changed default to outer_bags=14

Fixed

• restrict to dash 2.x since visualizations are not working on dash 3.x

Version 0.6.9

v0.6.9 - 2025-01-06

Added

• refitting of the intercept term after fitting the rest of the model to improve the intercept value
• new options for handling missing values: "low", "high", "separate", and "gain"
• use Fischer (1958) for handling categorical values. This is the same method employed by LightGBM.
• added new parameters to control overfitting of nominal categoricals: gain_scale, min_cat_samples, cat_smooth

Changed

• enable AVX-512 by default
• modified default EBM parameters: outer_bags=16, n_jobs=-1

Fixed

• fixed memory leak in the purification function

Version 0.6.7

v0.6.7 - 2024-11-27

Changed

• minimum python version increased to 3.9
• minimum numpy version increased to 1.25

Fixed

• removed scipy dependency to resolve Issue #588

Version 0.6.6

v0.6.6 - 2024-11-20

Changed

• added predict_with_uncertainty function by @degenfabian in PR #584
• handle mono-classification in SHAP by @degenfabian in PR #582
• improvements to tree building in C++

Fixed

• issue that develop/debug options were not being honored in Windows when 1<n_jobs in joblib
• fix several bugs in C++ from negative hessians or negative gain values caused by floating point noise

Version 0.6.5

v0.6.5 - 2024-10-23

Changed

• default EBM parameters changed to improve model performance
• switch to using exact versions of exp/log instead of the previously used approximate versions

Fixed

• fix issue where very large feature values fail in the UI PR #581 by @degenfabian