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Making the trace component of SparseKernelNormalizer more memory-frie… #219

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Making the trace component of SparseKernelNormalizer more memory-frie…
rosecers Nov 17, 2023
c0c7c65
Update src/skmatter/preprocessing/_data.py
rosecers Nov 20, 2023
ca19af2
Linting
rosecers Nov 20, 2023
943849b
Merge branch 'main' into fix/memory_overload
ceriottm Jul 15, 2025
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Update src/skmatter/preprocessing/_data.py 
Co-authored-by: Alexander Goscinski <alex.goscinski@posteo.de>
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@rosecers @agoscinski
rosecers and agoscinski authored Nov 20, 2023
commit c0c7c65197ece080a75ec57d6ef15866b684ff79
2 changes: 1 addition & 1 deletion src/skmatter/preprocessing/_data.py
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Expand Up @@ -528,7 +528,7 @@ def fit(self, Knm, Kmm, y=None, sample_weight=None):
# but has been changed to Knm.T @ Knm @ Kmm^{-1} to avoid the memory
# overload often caused by storing n x n matrices. This is fine
# for the following trace, but should not be used for other operations.
Khat = Knm_centered.T @ Knm_centered @ np.linalg.pinv(Kmm, self.rcond)
Khat_trace = np.trace(Knm_centered.T @ Knm_centered @ np.linalg.pinv(Kmm, self.rcond))

self.scale_ = np.sqrt(np.trace(Khat) / Knm.shape[0])
else:
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