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
It seems that some package maintainers that would like to rely on seaborn are hesitant to add more dependencies. I was thus wondering if statsmodels is really required as scipy provides linear regression (via stats.linregress) and KDE.
Did miss anything that's only in statsmodels?
The text was updated successfully, but these errors were encountered:
Hah, I just moved the KDE from scipy to statsmodels :) The main advantage is the availability of different kernels, and faster computation in the univariate gaussian case.
There are a few things that require statmodels (or at least require either statsmodels or my implementing some statsmodelish things in pure scipy), like logit=True, robust=True, and lowess=True in regplot, coefplot, interactplot, etc.
I have plans (cf #67) to make the statsmodels dependency optional (but strongly recommended) by pushing the import down into the local context where it's needed.
It seems that some package maintainers that would like to rely on
seaborn
are hesitant to add more dependencies. I was thus wondering ifstatsmodels
is really required as scipy provides linear regression (viastats.linregress
) and KDE.Did miss anything that's only in statsmodels?
The text was updated successfully, but these errors were encountered: