This should really not happen.
Can you please open an issue with sample code?
Thanks,
Andy
On 07/25/2014 03:12 AM, Rose Perrone wrote:
When I train an scikit-learn |SGDClassifier|
<http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html> with
these options: |SGDClassifier(loss='log', class_weight=None,
penalty='l2')|, training completes with no error.
When I train this classifier with |class_weight='auto'| on my mac,
training still completes with no error.
Yet when I train this classifier with |class_weight='auto'| on a linux
ec2 instance, I get this error:
| return self.model.fit(X, y)
File
"/usr/local/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py",
line 484, in fit
sample_weight=sample_weight)
File
"/usr/local/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py",
line 388, in _fit
classes, sample_weight, coef_init, intercept_init)
File
"/usr/local/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py",
line 335, in _partial_fit
y_ind)
File "/usr/local/lib/python2.7/dist-packages/sklearn/utils/class_weight.py",
line 43, in compute_class_weight
raise ValueError("classes should have valid labels that are in y")
|
What could cause it? I'm running the latest version of scikit-learn.
(On macosx, it worked on both 0.14 and 0.15. On linux, it failed on
both 0.15.0b1 and 0.15)
Here's the StackOverflow question I posted:
http://stackoverflow.com/questions/24808821/sgdclassifier-with-class-weight-auto-fails-on-linux-but-not-on-osx
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