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Releases: interpretml/interpret

Version 0.7.2

05 Aug 20:48
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v0.7.2 - 2025-08-05

Changed

  • improved memory requirements estimate

Version 0.7.1

27 Jul 08:29
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v0.7.1 - 2025-07-25

Changed

  • improved memory requirements estimate

Version 0.7.0

14 Jul 03:52
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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

12 Jul 05:08
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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

12 Jul 05:06
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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

05 Jul 04:58
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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

28 Jun 17:43
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v0.6.13 - 2025-06-28

Added

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

Version 0.6.12

17 Jun 21:10
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v0.6.12 - 2025-06-17

Changed

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

v0.6.11

06 Jun 06:31
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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

27 Mar 02:51
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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