Changelog

Change tags (adopted from Scikit-learn and mvlearn):

• [Major Feature] : something big that you couldn’t do before.

• [Feature] : something that you couldn’t do before.

• [Efficiency] : an existing feature now may not require as much computation or memory.

• [Enhancement] : a miscellaneous minor improvement.

• [Fix] : something that previously didn’t work as documentated – or according to reasonable expectations – should now work.

• [API] : you will need to change your code to have the same effect in the future; or a feature will be removed in the future.

Version 0.2.0

November 3, 2025

Updates in this release:

• [Fix] Corrected inheritance hierarchy in clustering algorithms by replacing ClassifierMixin with the appropriate ClusterMixin base class from Scikit-learn.

• [Enhancement] Improved code readability by updating references to Lightning package base classes to use their explicit class names instead of generic references.

• [Enhancement] Enhanced navigation in the algorithm selection guide by adding direct hyperlinks from each algorithm to its corresponding detailed documentation page, making it easier for users to explore specific implementations.

imml.ampute

• [Feature] Amputer Now support lists and pytorch tensors.

• [Feature] RemoveMods Now support lists and pytorch tensors.

imml.classify

• [Fix] MUSE Fixed text extractor load when using text modality.

• [Fix] MUSE Fixed error when working with multiple data modalities.

• [Fix] M3Care Fixed error when working with multiple data modalities.

imml.impute

• [Feature] MissingModIndicator Now support lists and pytorch tensors.

• [Feature] get_missing_mod_indicator Now support lists and pytorch tensors.

• [Feature] ObservedModIndicator Now support lists and pytorch tensors.

• [Feature] get_observed_mod_indicator Now support lists and pytorch tensors.

imml.load

• [API] M3CareDataset observed_mod_indicator argument was removed.

• [API] MUSEDataset observed_mod_indicator and y_indicator arguments were removed.

imml.utils

• [Feature] check_Xs Now support pytorch tensors.

Version 0.1.1

October 17, 2025

Updates in this release:

• [Enhancement] Improving documentation for several methods.

• [Enhancement] Improved documentation for installation and extra dependencies.

• [Enhancement] Adding guidelines on how to choose an algorithm.

• [Enhancement] Added license headers to all files.

• [Fix] Fixed iPython dependency issue. Oct2Py depends on iPython but returned an error when importing ipython>=9.0.0.

.github/workflows/ci_test.yml

• [Fix] Fixing actions/missing-workflow-permissions security.

Version 0.1.0

October 03, 2025

We are happy to announce the first major public version of iMML!