Oh well I just forgot to set the probability attribute to probability=True
during training. Now it's ok.
2013/2/28 ShNaYkHs ShNaYkHs <shnay...@gmail.com>
> If I use predict_proba with svm.SVC I get:
>
> probas = model_svm.predict_proba(data_test)
> File "C:\Python26\lib\site-packages\sklearn\svm\base.py", line 490, in
> predict_proba "probability estimates must be enabled to use this method")
> NotImplementedError: probability estimates must be enabled to use this
> method
>
> C:\Users\mbouguel.LORIA\Desktop\sklearn\2>
>
> 2013/2/27 Andreas Mueller <amuel...@ais.uni-bonn.de>
>
>> On 02/27/2013 04:48 PM, ShNaYkHs ShNaYkHs wrote:
>> > Is it possible to get a confidence value or a probability (P(y|x))
>> > that the class y predicted for a given data-point x is correct ? Using
>> > any of these classifiers from sklearn: tree, GaussianNB (naive
>> > bayes), KNeighborsClassifier, svm (svm.SVC ..).
>> Use the methods "predict_proba" and "decision_function".
>>
>>
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>
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