I am not really understanding the question, sorry. Are you seeking for the `explained_variance_ratio_` attribute that give you a relative value of the eigenvalues associated to the eigenvectors?
On Fri, 22 Jan 2021 at 10:16, Mahmood Naderan <mahmood...@gmail.com> wrote: > Hi > I have a question about PCA and that is, how we can determine, a > variable, X, is better captured by which factor (principal > component)? For example, maybe one variable has low weight in the > first PC but has a higher weight in the fifth PC. > > When I use the PCA from Scikit, I have to manually work with the PCs, > therefore, I may miss the point that although a variable is weak in > PC1-PC2 plot, it may be strong in PC4-PC5 plot. > > Any comment on that? > > Regards, > Mahmood > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > -- Guillaume Lemaitre Scikit-learn @ Inria Foundation https://glemaitre.github.io/
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
