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- 12 commits
- 23 files changed
- 6 contributors
Commits on Apr 17, 2024
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* improve np.nansum and use njit for HBeta * use np.eye function for convert_to_one_hot and reduce redundant initialisation * use with loop for temporary files * Add importlib-metadata in setup.cfg * set minimum python version to 3.8 * python version inas strings * update Scanorama version * fix n_batch
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Update codecov with token (#407)
* use codecov-action v4 * fix delete-artifact tag * use delete-artifact@v4
Commits on Apr 22, 2024
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Use precomputed clustering (#406)
* cluster only when clustering key does not exist or if forced * add tests for precomputed clusters * allow passing arguments to cluster_optimal_resolution from isolated label score * fix docstring issues * add test for isolated labe score with precomputed clusters * fix neighbors check * fix resolution getter function * update explicit get_resolutions functions * return no isolated labels when minimum number of batches per label is the same as total batches * include update docstrings for clustering * add use_rep to optimal clustering * use graph connectivity for scanorama
Commits on Aug 7, 2024
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In some versions of scipy(e.g. 1.14), M.A might not be available. In such cases, you should use M.toarray() to convert the sparse matrix to a dense one. Co-authored-by: Michaela Müller <51025211+mumichae@users.noreply.github.com>
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Update preprocessing.py (#402)
Ensure essential packages are not detached. Co-authored-by: Michaela Müller <51025211+mumichae@users.noreply.github.com>
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Skip labels before loop (#394)
* Skip labels before loop * Fix lint --------- Co-authored-by: Michaela Müller <51025211+mumichae@users.noreply.github.com>
Commits on Nov 22, 2024
Commits on Dec 5, 2024
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Fix kBET test for 1.1.6 (#420)
* adjust margin and add random batch kbet score test * update python versions * update to 3.12 for metrics * set 3.11 as max python version (due to incompatibility with louvain) * update python version for readthedocs build * reduce number of kbet tests
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