python – raise LinAlgError(SVD did not converge) LinAlgError: SVD did not converge in matplotlib pca determination

python – raise LinAlgError(SVD did not converge) LinAlgError: SVD did not converge in matplotlib pca determination

This can happen when there are inf or nan values in the data.

Use this to remove nan values:

ori_data.dropna(inplace=True)

I know this post is old, but in case someone else encounters the same problem. @jseabold was right when he said that the problem is nan or inf and the op was probably right when he said that the data did not have nans or inf. However, if one of the columns in ori_data has always the same value, the data will get Nans, since the implementation of PCA in mlab normalizes the input data by doing

ori_data = (ori_data - mean(ori_data)) / std(ori_data).

The solution is to do:

result = PCA(ori_data, standardize=False)

In this way, only the mean will be subtracted without dividing by the standard deviation.

python – raise LinAlgError(SVD did not converge) LinAlgError: SVD did not converge in matplotlib pca determination

If there are no inf or NaN values, possibly that is a memory issue. Please try in a machine with higher RAM.

Leave a Reply

Your email address will not be published.