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The algorithm failed to converge because the input matrix is ill-conditioned or has too many repeated eigenvalues (error code: 1).
Everytime I try to run the Deep Multiset CCA, I come across this error "The algorithm failed to converge because the input matrix is ill-conditioned or has too many repeated eigenvalues (error code: 1)". I am literally using random matrices but the DCCA model along with the MCCA loss but still I keep encountering this error.
A fairly common reason for this is if you are using batch size < latent dimensions. The classic DCCA, DMCCA, DGCCA algorithms will all break.
I recommend giving our DCCA-EY algorithm a go if you are in the batch size < latent dimensions setting.
I am so sorry for troubling you with such rookie problems. Thank you its fixed