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Solves #58, #77 and #78.

Adds a new set of tests against POT and in the identity case. Fixes the barycenter weight mix-up issue in the dense case.
It might be worth opening another PR for the sparse case.

@pbarbarant pbarbarant changed the title [BUGFIX] Fix dense barycenter calculations. [BUGFIX] Fix dense barycenter calculations Oct 12, 2024
have the same number of features n_features.
geometry_embedding (np.array or torch.Tensor): Common geometry
embedding of all individuals and barycenter.
subject_weights (list of float, optional): Weights of each individual.
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Naive question: is there really a usecase for this parameter ?

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Mostly for interpolation:
https://pythonot.github.io/auto_examples/gromov/plot_gromov_barycenter.html

In our fMRI application, all subjects are assigned the same weight. However other FUGW users might do fancier things...

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I removed it since there is no immediate usecase where it could be relevant for the end user.

_,
_,
_,
) = fugw_barycenter.fit(
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AN old traidiotn of sklearn is that fit() return the object itself.

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I'd prefer to merge this PR first and open another one to fix this.

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LGTM, thx.

@pbarbarant pbarbarant merged commit bede443 into alexisthual:main Oct 16, 2024
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@pbarbarant pbarbarant deleted the feat/test-edge-case-bary branch October 16, 2024 15:40
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2 participants