Hi,
It looks to me that only the bias parameter is passed to liblinear. It is
set to self.intercept_scaling if fit_intercept is set to True and -1
otherwise. The rest (I think) are default parameters.
You can have a look at the function signature of train_wrap in
liblinear.pyx in order to clarify this.
On Wed, Aug 6, 2014 at 9:51 PM, Pagliari, Roberto <[email protected]>
wrote:
> Probably my question was not clear.
>
> What I meant to ask is this: when using sklearn iblinear with default
> parameters, what would be the options passed to liblinear library for
> training, which is the “options” field in liblinear python wrapper?
>
>
>
> Thank you!
>
>
>
>
>
> *From:* Pagliari, Roberto [mailto:[email protected]]
> *Sent:* Tuesday, August 05, 2014 4:53 PM
> *To:* [email protected]
> *Subject:* [Scikit-learn-general] mapping liblinear wrapper with LinearSVC
>
>
>
> I went through the documentation of the python wrapper for liblinear.
>
>
>
> There are a few parameters such as
>
> -p epsilon
>
> -e epsilon (with –s)
>
> -B bias
>
>
>
> Assuming I’m using the default value of 1e-4 in sklearn, which values are
> used for the parameters above. Does sklearn use default values, or
> different values?
>
>
>
> Thank you,
>
>
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--
Regards,
Manoj Kumar,
GSoC 2014, Scikit-learn
Mech Undergrad
http://manojbits.wordpress.com
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