know?
Thank you,
From: Manoj Kumar [mailto:manojkumarsivaraj...@gmail.com]
Sent: Friday, August 08, 2014 11:12 AM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] mapping liblinear wrapper with LinearSVC
Hi,
I think you need to be looking at the recent master
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() , whi
-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] mapping liblinear wrapper with LinearSVC
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
tions” field in liblinear python wrapper?
>
>
>
> Thank you!
>
>
>
>
>
> *From:* Pagliari, Roberto [mailto:rpagli...@appcomsci.com]
> *Sent:* Tuesday, August 05, 2014 4:53 PM
> *To:* scikit-learn-general@lists.sourceforge.net
> *Subject:* [Scikit-learn-general] m
lto:rpagli...@appcomsci.com]
Sent: Tuesday, August 05, 2014 4:53 PM
To: scikit-learn-general@lists.sourceforge.net
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
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
