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CHANGELOG.md

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Change Log

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[1.0.5.3] - 2024-11-29

HotFix

  • Remove debug logs in DeTriTraining.

[1.0.5.2] - 2024-05-27

HotFix

  • Remove some files that are not necessary in the package.

[1.0.5.1] - 2024-05-20

Fixed

  • Fixed bugs in artificial_ssl_dataset, now support again pandas DataFrame and y_unlabeled returns the right values

[1.0.5] - 2024-05-08

Added

  • feature_fusion and probability_fusion methods for restricted in sslearn.restricted module.

Fixed

  • CoForest random integer is now compatible with Windows.

[1.0.4] - 2024-01-31

Added

  • Add a parameter to artificial_ssl_dataset to force a minimum of instances. Issue #11
  • Add a parameter to artificial_ssl_dataset to return indexes. Issue #13

Changed

  • The artificial_ssl_dataset changed the process to generate the dataset, based in indexes. Issue #13

Fixed

  • DeTriTraining now is vectorized and is faster than before.

[1.0.3.1] - 2023-04-01

Changed

  • Hot fix for avoid problems with Pypi

[1.0.3] - 2023-03-29

Added

  • Methods now support no unlabeled data. In this case, the method will return the same as the base estimator.

Changed

  • In OneHotEncoder, the sparse parameter is now sparse_output to avoid a FutureWarning.

Fixed

  • CoForest now is most similar to the original paper.
  • TriTraining can use at least 3 n_jobs. Fixed the bug that allows using as many n_jobs as cpus in the machine.

[1.0.2] - 2023-02-17

Fixed

  • Fixed a bug in TriTraining when one of the base estimators has not a random_state parameter.
  • Fixed OneVsRestSSL with the random_state parameter.
  • Fixed WiWTriTraining when no instance_group parameter is not provided.
  • Fixed a FutureWarning for sparse parameter in OneHotEncoder. Changed to sparse_output.

[1.0.1] - 2023-02-10

Added

  • CoTraining support a threshold parameter (default to 0.5) to control the threshold for adding new instances in the next iteration.

Fixed

  • Fixed a bug in CoTraining using LabelEncoder.