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
When I run whereami crossval, I get a stacktrace ending with ValueError: n_splits=10 cannot be greater than the number of members in each class. I'm not sure how to fix this error, but in searching around for a fix, I feel like the existing project documentation could be a little clearer, e.g., where the trained data is, whether it's different from data in ~/.whereami/*.txt, what exactly whereami train does, what's the benefit of the -n 4 samples option, and how to use the rename option. If this is already documented, could you please point me in the right direction?
So it follows that one benefit of setting samples option during learn is that one sooner reaches the minimum of 10 samples necessary to run whereami crossval.
The text was updated successfully, but these errors were encountered:
Installed with
sudo pip install -U whereami
with system's python. My current locations are :When I run
whereami crossval
, I get a stacktrace ending withValueError: n_splits=10 cannot be greater than the number of members in each class.
I'm not sure how to fix this error, but in searching around for a fix, I feel like the existing project documentation could be a little clearer, e.g., where the trained data is, whether it's different from data in ~/.whereami/*.txt, what exactlywhereami train
does, what's the benefit of the-n 4
samples option, and how to use therename
option. If this is already documented, could you please point me in the right direction?EDIT for the n_splits error, this link https://stackoverflow.com/questions/48313387/valueerror-n-splits-10-cannot-be-greater-than-the-number-of-members-in-each-cla is helpful.
So it follows that one benefit of setting samples option during learn is that one sooner reaches the minimum of 10 samples necessary to run
whereami crossval
.The text was updated successfully, but these errors were encountered: