msmbuilder.reduce.tICA.tICA.solve

tICA.solve(pca_cutoff=0)[source]

Solve the eigenvalue problem. We can translate into the PCA space and remove directions that have zero variance.

If there are directions with zero variance, then the tICA eigenvalues will be complex or greater than one.

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