[ENH]: Introduce JuniferConnectivityMeasure

[synchon]

• description of feature/fix
• tests added/passed
• add an entry for the latest changes

This PR introduces JuniferConnectivityMeasure, tailored nilearn.connectome.ConnectivityMeasure for junifer. This sets sklearn.covariance.EmpiricalCovariance as the default covariance estimator and correlation as the default connectivity matrix kind, which is what junifer users mostly do. It also sets the ground to add custom connectivity matrix kinds and correlation metrics. Required by #333 and #335 as of now.

[codecov]

Codecov Report

Attention: Patch coverage is 93.38843% with 8 lines in your changes missing coverage. Please review.

Project coverage is 88.67%. Comparing base (f80c685) to head (6b792b9).

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #348      +/-   ##
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+ Coverage   88.58%   88.67%   +0.08%     
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  Files         114      115       +1     
  Lines        5028     5138     +110     
  Branches      983     1019      +36     
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+ Hits         4454     4556     +102     
- Misses        418      422       +4     
- Partials      156      160       +4     

Flag	Coverage Δ
docs	100.00% <ø> (ø)
junifer	88.67% <93.38%> (+0.08%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Files	Coverage Δ
docs/conf.py	100.00% <ø> (ø)
junifer/external/nilearn/__init__.py	100.00% <100.00%> (ø)
...ivity/crossparcellation_functional_connectivity.py	100.00% <100.00%> (ø)
...nnectivity/edge_functional_connectivity_parcels.py	100.00% <ø> (ø)
...nnectivity/edge_functional_connectivity_spheres.py	89.47% <ø> (ø)
...ional_connectivity/functional_connectivity_base.py	96.42% <100.00%> (+0.13%)	⬆️
...al_connectivity/functional_connectivity_parcels.py	100.00% <ø> (ø)
...al_connectivity/functional_connectivity_spheres.py	100.00% <ø> (ø)
...r/external/nilearn/junifer_connectivity_measure.py	92.52% <92.52%> (ø)

[github-actions]

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2024-07-19 10:27 UTC

[fraimondo]

This will require a new major I think.