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FYI when I installed tsai into an environment with scikit-learn v1.2.1 and tried to use MINIROCKET, I got the following error:
Traceback (most recent call last):
File "xxx", line 11, in <module>
model = MiniRocketRegressor()
File "xxx/python3.10/site-packages/tsai/models/MINIROCKET.py", line 87, in __init__
('ridgecv', RidgeCV(alphas=alphas, normalize=normalize_features, scoring=scoring, **kwargs))]
TypeError: _BaseRidgeCV.__init__() got an unexpected keyword argument 'normalize'
It looks like the normalize keyword in RidgeCV was removed in scikit-learn v1.2.1
If anyone else is having this problem, downgrading sklearn to v1.1.3 appears to fix the issue for now. That is assuming nothing else in your environment depends on the latest version.
FYI when I installed tsai into an environment with scikit-learn v1.2.1 and tried to use MINIROCKET, I got the following error:
It looks like the
normalize
keyword inRidgeCV
was removed in scikit-learn v1.2.1If anyone else is having this problem, downgrading sklearn to v1.1.3 appears to fix the issue for now. That is assuming nothing else in your environment depends on the latest version.