sklearn error ValueError: Input contains NaN, infinity or a value too large for dtype('float64') | valueerror: input contains nan, infinity or a value too large for dtype('float64').

sklearn error ValueError: Input contains NaN, infinity or a value too large for dtype('float64') | valueerror: input contains nan, infinity or a value too large for dtype('float64').

This might happen inside scikit, and it depends on what you're doing. I recommend reading the documentation for the functions you're using. You might be using one which depends e.g. on your matrix being positive definite and not fulfilling that criteria.

EDIT: How could I miss that:

np.isnan(mat.any()) #and gets False
np.isfinite(mat.all()) #and gets True

is obviously wrong. Right would be:


np.any(np.isnan(mat))


and

    np.all(np.isfinite(mat))