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Releases: KhiopsML/khiops-python

10.2.3.0

13 Nov 15:20
b25fa95
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10.2.3.0 - 2024-11-13

Added

  • (sklearn) train_test_split_dataset helper function to ease the splitting in train/test for
    multi-table datasets.
  • (sklearn) Complete support for core API functions parameters in the sklearn estimators.

Changed

  • (General) The Conda package only depends on the conda-forge and khiops channels.
  • Internals:
    • Improve and simplify the integration with the khiops-core package via its khiops_env
      script.

10.2.3.0-rc.2

13 Nov 12:49
ff3b61f
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10.2.3.0-rc.2 Pre-release
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For testing purposes only

10.2.3.0-rc.1

13 Nov 10:52
2ebfb69
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10.2.3.0-rc.1 Pre-release
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10.2.3.0-b.6

21 Oct 10:19
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10.2.3.0-b.6 Pre-release
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10.2.3.0-b.5

18 Oct 17:24
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10.2.3.0-b.5 Pre-release
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10.2.2.5-a.1

29 Aug 15:12
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10.2.2.5-a.1 Pre-release
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For testing purposes only

10.2.2.4

05 Aug 16:23
427c1d8
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10.2.2.4 - 2024-08-05

Added

  • (sklearn) Sklearn's attributes for supervised estimators.

10.2.2.3

02 Aug 14:44
7da3e71
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10.2.2.3 - 2024-08-02

Fixed

  • (core) API functions handling of unknown parameters: they now fail.
  • Internals:
    • Detection of the path to the MPI command: the real path to the executable is
      now used.

10.2.2.2

22 Jul 14:27
fe00d30
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10.2.2.2 - 2024-07-19

Fixed

  • (core) Documentation of the specific_pairs parameter for the train_predictor and
    train_recoder core API functions.

Deprecated

  • (core) The following parameters of the train_predictor core API functions:
    • max_groups
    • max_intervals
    • min_group_frequency
    • min_interval_frequency
    • results_prefix
    • snb_predictor
    • univariate_predictor_number
    • discretization_method for supervised learning
    • grouping_method for supervised learning

10.2.2.1

05 Jul 08:01
27c9f62
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Release date: 2024-07-05

Changed

  • Internals:
    • The OpenMPI backend now executes with the --allow-run-as-root option.