Release v0.2.0 — aligned_lambdas (#94) + version bump + changelog - #161
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Adds proxy-eigenvalue correspondence for Procrustes-aligned gradients, the last unaddressed item from #94: - procrustes() gains return_transform=True - procrustes_alignment() gains return_transforms=True - ProcrustesAlignment now exposes transforms_ - New helper aligned_lambdas(lambdas, transform) using the largest |transform[i,j]| heuristic suggested by @OualidBenkarim - GradientMaps.aligned_lambdas_ exposes the per-dataset proxy lambdas Bumps version to 0.2.0 and writes a detailed CHANGELOG entry covering every change since 0.1.22 (issues, packaging, CI, docs, tests, MATLAB fix). 165 tests passing, 76% line coverage.
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Final release PR. Closes #94 with a real API and bumps the version.
What's new in this PR
Resolves #94
The MATLAB sqrt(N) cap mentioned in #94 was already fixed in #142. This PR adds the second piece — proxy lambdas for aligned gradients:
procrustes(..., return_transform=True)returns the rotation matrix.procrustes_alignment(..., return_transforms=True)returns per-dataset rotations.ProcrustesAlignmentnow exposestransforms_.aligned_lambdas(lambdas, transform)implements the largest-|transform[i,j]| heuristic suggested by @OualidBenkarim in the issue thread.GradientMaps.aligned_lambdas_is populated automatically whenalignment='procrustes'is used.Release v0.2.0
_version.py→ 0.2.0CHANGELOG.txtrewritten with a full inventory of changes since 0.1.22: issues [Python] Workaround for plotting on remote server. #66, How can I obtain the lambda values corresponding to the aligned gradient map #94, Use diffusion_mapping in MATLAB and got complex number in the eigvalue #98, removed valueError for nonzero eigenvalues #112, feat: enable Qt backend for image rendering #136, Support path-like inputs in GradientMaps.fit() #140 plus packaging refresh, CI modernization, validation consistency, Dockerfile, community files, MATLAB diffusion fix..gitignoreignores coverage artifacts.System recheck
pytest --cov=brainspace).python -m buildproduces a clean sdist + wheel.Test plan
brainspace-0.2.0.tar.gz,brainspace-0.2.0-py3-none-any.whl).v0.2.0after merge to triggertagged_release.yml(publishes to PyPI).