Hi,
I think you need to be looking at the recent master of scikit-learn
LinearSVC inherits from BaseLibLinear, the call to train_wrap is made in
this line
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/svm/base.py#L719
. You can see the parameter (method) self._get_bias() , which corresponds
to
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/svm/base.py#L783
. This is set to -1.0 if intercept is not fit and intercept_scaling if
fit_intercept is True. I am not really sure about the epsilon parameter
though (I will have to look in detail) , however the default tol is 1e-4.
HTH
---
Regards,
Manoj Kumar,
GSoC 2014, Scikit-learn
Mech Undergrad
http://manojbits.wordpress.com
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