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
Hi,
I would be very interested in testing this architecture on another dataset but I found the current API very focused on the task of testing on the collection you are using and difficult to generalize to others (at least for me).
Wouldn't it be possible (and very nice) if there was a class with an API compatible with sklearn with a fit(X_3dnumpyarray, y_1dnumpyarray) method that returns the fitted estimator itself and a predict method that returns the 1d predicted numpy array?
Thank you
The text was updated successfully, but these errors were encountered:
Hi,
I would be very interested in testing this architecture on another dataset but I found the current API very focused on the task of testing on the collection you are using and difficult to generalize to others (at least for me).
Wouldn't it be possible (and very nice) if there was a class with an API compatible with sklearn with a fit(X_3dnumpyarray, y_1dnumpyarray) method that returns the fitted estimator itself and a predict method that returns the 1d predicted numpy array?
Thank you
The text was updated successfully, but these errors were encountered: