Thanks to visit codestin.com
Credit goes to github.com

Skip to content

[ENH] Move Test Skip config for CNTCRegressor #8527

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 8 commits into from
Jul 13, 2025
Merged

[ENH] Move Test Skip config for CNTCRegressor #8527

Changes from 1 commit
Commits
Show all changes
8 commits
Select commit Hold shift + click to select a range
d3bff30
Added Estimator tags for CNTCRegressor
Ghxst07 Jul 11, 2025
635d2d6
Update: use _tags instead of _more_tags (sklearn type)
Ghxst07 Jul 11, 2025
4997e26
Fix: formatting after pre-commit setup
Ghxst07 Jul 11, 2025
3cad025
Added the skip test comments that reference the issues
Ghxst07 Jul 11, 2025
ad10aee
Added test:vm tag to avoid unexpected crashes
Ghxst07 Jul 12, 2025
b993f78
Update cntc.py
fkiraly Jul 12, 2025
12d1fcf
Merge branch 'sktime:main' into fix-test-tags
Ghxst07 Jul 12, 2025
7d45342
Update cntc.py
fkiraly Jul 12, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
Update: use _tags instead of _more_tags (sklearn type)
  • Loading branch information
@Ghxst07
Ghxst07 committed Jul 11, 2025
commit 635d2d6253ec5fddb2700d9b1a17bb59aaf86a8d
7 changes: 2 additions & 5 deletions sktime/regression/deep_learning/cntc.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -70,6 +70,8 @@ class CNTCRegressor(BaseDeepRegressor):
],
"maintainers": ["James-Large", "Withington", "AurumnPegasus", "nilesh05apr"],
"python_dependencies": ["tensorflow"],
"tests:skip_all": True,
"tests:skip_by_name": ["test_fit_idempotent"]
}

def __init__(
Expand Down Expand Up @@ -250,11 +252,6 @@ def _predict(self, X, **kwargs):
preds = self.model_.predict([X2, X, X], self.batch_size, **kwargs)
preds = np.squeeze(preds, axis=-1)
return preds
def _more_tags(self):
return {
"tests:skip_all": True,
"tests:skip_by_name": ["test_fit_idempotent"]
}


@classmethod
Expand Down