Version 0.7.3

v0.7.3 - 2025-10-12

Changed

• improved fitting memory requirement estimate
• simplified interface by removing the ComputeProvider abstraction by @DerWeh in PR #631
• updated typehints by @DerWeh in PR #634
• updated APLR wrappers by @mathias-von-ottenbreit in PR #638

Fixed

• resolved issue #609, UFuncTypeError in ShapKernel.explain_local

Version 0.7.2

v0.7.2 - 2025-08-05

Changed

• improved memory requirements estimate

Version 0.7.1

v0.7.1 - 2025-07-25

Changed

• improved memory requirements estimate

Version 0.7.0

v0.7.0 - 2025-07-13

Breaking Changes

• the shape of the bags parameter has been changed from (n_outer_bags, n_samples) to (n_samples, n_outer_bags)
  in order to better match the format of the X parameter which has shape (n_samples, n_features)
  In this release if bags is passed in as (n_outer_bags, n_samples), then a warning is issued and the shape
  is accepted using the old format.

Version 0.6.16

v0.6.16 - 2025-07-09

Fixed

• removed the use of large blocks of shared memory since it is not available in docker containers

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