martinroyer
martinroyer
Transformer that dictionary-wraps persistence diagram vectorizers, i.e. objects from gudhi.representations.vector_methods. One provides persistence diagram vectorizers (by way of either `island` or `island_dict`), and the Archipelago object will |fit on| and...
This introduces fixes that allow Atol to not crash on fitting, essentially by adding random points to the target. This is a follow-up on PR #1017 that can now be...
Simple example showing how to implement scikit-learn's set_output API and an example test. This outputs diagrams nicely: ``` >>> RipsPersistence(homology_dimensions=[0, 2], n_jobs=-2).set_output(transform="pandas").fit_transform(point_clouds) H0 H2 0 [[0.0, 10.456032537513941], [0.0, inf]] []...