LinearSVC doesn't provide it as far as I can tell, however sklearn.svm.SVC,
which does allow you to
set 'probability=True' - which enables probability estimates
This must be done before calling predict_proba.
http://scikit-learn.org/dev/modules/generated/sklearn.svm.SVC.html#sklearn.svm.SVC
J
2012/4/6 Jaques Grobler <[email protected]>
> 'SVMs do not directly provide probability estimates, these are calculated
> using five-fold cross-validation, and thus performance can suffer'
>
> http://scikit-learn.org/dev/modules/svm.html#svm
>
>
> 2012/4/6 Lars Buitinck <[email protected]>
>
>> Op 5 april 2012 11:49 heeft <[email protected]> het volgende
>> geschreven:
>> > I was wondering whether it is possible to output probability estimates
>> in sklearn.svm.LinearSVC.
>> >
>> > The underlying liblinear has the following option:
>> > -b probability_estimates: whether to output probability estimates, 0 or
>> 1 (default 0)
>> >
>> > But trying to activate it in scikit is not allowed:
>> > TypeError: __init__() got an unexpected keyword argument 'probability'
>>
>> Liblinear probability estimates are supported in its logistic
>> regression mode only, which in scikit-learn is available as
>> sklearn.linear_model[.sparse].LogisticRegression:
>>
>> http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
>>
>> --
>> Lars Buitinck
>> Scientific programmer, ILPS
>> University of Amsterdam
>>
>>
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>
>
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