025-05-15 00:35:23,226:INFO:scripts.trainer:Training *backout* model
2025-05-15 00:35:23,364:INFO:bugbug.models.backout:0 commits were backed out
2025-05-15 00:35:23,364:INFO:bugbug.models.backout:490 commits were not backed out
/usr/local/lib/python3.12/site-packages/sklearn/pipeline.py:62: FutureWarning: This Pipeline instance is not fitted yet. Call 'fit' with appropriate arguments before using other methods such as transform, predict, etc. This will raise an error in 1.8 instead of the current warning.
warnings.warn(
2025-05-15 00:35:23,513:INFO:bugbug.model:X: (490, 3), y: (490,)
Traceback (most recent call last):
File "/usr/local/bin/bugbug-train", line 8, in <module>
sys.exit(main())
^^^^^^
File "/usr/local/lib/python3.12/site-packages/scripts/trainer.py", line 143, in main
retriever.go(args)
File "/usr/local/lib/python3.12/site-packages/scripts/trainer.py", line 41, in go
metrics = model_obj.train(limit=args.limit)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/bugbug/model.py", line 399, in train
scores = cross_validate(
^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 216, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/sklearn/model_selection/_validation.py", line 431, in cross_validate
_warn_or_raise_about_fit_failures(results, error_score)
File "/usr/local/lib/python3.12/site-packages/sklearn/model_selection/_validation.py", line 517, in _warn_or_raise_about_fit_failures
raise ValueError(all_fits_failed_message)
ValueError:
All the 5 fits failed.
It is very likely that your model is misconfigured.
You can try to debug the error by setting error_score='raise'.
Below are more details about the failures:
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/sklearn/model_selection/_validation.py", line 866, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/usr/local/lib/python3.12/site-packages/sklearn/base.py", line 1389, in wrapper
return fit_method(estimator, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/imblearn/pipeline.py", line 518, in fit
Xt, yt = self._fit(X, y, routed_params, raw_params=params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/imblearn/pipeline.py", line 440, in _fit
X, y, fitted_transformer = fit_resample_one_cached(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/joblib/memory.py", line 326, in __call__
return self.func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/imblearn/pipeline.py", line 1336, in _fit_resample_one
X_res, y_res = sampler.fit_resample(X, y, **params.get("fit_resample", {}))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/imblearn/base.py", line 202, in fit_resample
return super().fit_resample(X, y, **params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/sklearn/base.py", line 1389, in wrapper
return fit_method(estimator, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/imblearn/base.py", line 101, in fit_resample
self.sampling_strategy_ = check_sampling_strategy(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/imblearn/utils/_validation.py", line 537, in check_sampling_strategy
raise ValueError(
ValueError: The target 'y' needs to have more than 1 class. Got 1 class instead
We got a crash in the integration test: https://community-tc.services.mozilla.com/tasks/QjBR5BuvSc298gr99chl-g/runs/0/logs/public/logs/live.log#L4360.