You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I implemented this in the lazy-svd branch but had to make the *Sampling types mutable, so I'm a little hesitant to merge into main. If it degrades performance, maybe the current solution (specifying factorize = false via kwarg in the *Sampling constructors) is preferable. What do you think?
maybe the current solution (specifying factorize = false via kwarg in the *Sampling constructors) is preferable.
Sorry, I was not aware of this change!
OK, let us stick to your solution.
BTW, we should add some description on this point in the "sparse-ir-tutorial" since this is crucial when evaluating an object on a large number of frequencies and tau points.
The SVD can be done when the
fit
is called first time.The text was updated successfully, but these errors were encountered: