Hello,
I just ran a four-day fit using RFECV. At the end I got the following message.
My question is whether this is a bug? If so, I’ll write some reproducible code
(if I can) and submit a report.
I have searched for similar messages but didn’t find anything.
I am using Windows Server 8 R2 Enterprise with Anaconda 2.2.0 64-bit. I haven’t
patched scikit-learn or any dependencies.
……………………………
Fitting estimator with 4 features.
[Parallel(n_jobs=20)]: Done 1 out of 300 | elapsed: 0.6s remaining: 3.5min
[Parallel(n_jobs=20)]: Done 300 out of 300 | elapsed: 10.6s finished
Fitting estimator with 3 features.
[Parallel(n_jobs=20)]: Done 1 out of 300 | elapsed: 0.4s remaining: 2.6min
[Parallel(n_jobs=20)]: Done 300 out of 300 | elapsed: 7.1s finished
Fitting estimator with 2 features.
[Parallel(n_jobs=20)]: Done 1 out of 300 | elapsed: 0.6s remaining: 3.5min
[Parallel(n_jobs=20)]: Done 300 out of 300 | elapsed: 8.2s finished
[Parallel(n_jobs=20)]: Done 1 out of 300 | elapsed: 0.5s remaining: 2.9min
[Parallel(n_jobs=20)]: Done 300 out of 300 | elapsed: 8.6s finished
[Parallel(n_jobs=20)]: Done 1 out of 300 | elapsed: 0.5s remaining: 3.2min
[Parallel(n_jobs=20)]: Done 300 out of 300 | elapsed: 8.6s finished
Traceback (most recent call last):
File "test_rfecv.py", line 62, in <module>
churn.rfe()
File "D:\Research\Churn\python\churn.py", line 805, in rfe
print(r"%s" % traceback.format_exc())
File "C:\Anaconda3\lib\site-packages\sklearn\feature_selection\rfe.py", line
382, in fit
score = _score(estimator, X_test[:, indices], y_test, scorer)
File "C:\Anaconda3\lib\site-packages\sklearn\cross_validation.py", line 1534,
in _score
score = scorer(estimator, X_test, y_test)
File "C:\Anaconda3\lib\site-packages\sklearn\metrics\classification.py", line
676, in fbeta_score
sample_weight=sample_weight)
File "C:\Anaconda3\lib\site-packages\sklearn\metrics\classification.py", line
855, in precision_recall_fscore_support
if beta <= 0:
ValueError: The truth value of an array with more than one element is ambiguous.
Use a.any() or a.all()
Dale Smith, Ph.D.
Data Scientist
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