Matlab references the libsvm authors on working set selection for the
svm implementation, so they seem to be either implementing the same, or
also using libsvm.
On 03/03/2015 03:53 PM, Pagliari, Roberto wrote:
Has anybody ever compared Matlab SVM vs sklearn or libsvm?
It’d be interested to
igure out the difference.
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> Thank you,
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> *From:* Artem [mailto:barmaley@gmail.com]
> *Sent:* Tuesday, March 03, 2015 3:58 PM
> *To:* scikit-learn-general@lists.sourceforge.net
> *Subject:* Re: [Scikit-learn-general] SVM: Matlab vs skleanr
>
Hi Artem,
That’s correct. I wasn’t clear ☺
I wanted to know about sklearn/libsvm vs Matlab with rbf kernel
Thank you,
From: Artem [mailto:barmaley@gmail.com]
Sent: Tuesday, March 03, 2015 3:58 PM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] SVM: Matlab
sklearn.svm.SVC is based on libsvm so no need to compare the two.
sklearn.svm.LinearSVC is based on liblinear.
In theory, SVMs do what SVMs do: maximize a classification margin given
some tolerance for wrong classifications. Apart from numerical errors in
optimization, I don't see how accuracy sco
Can't say about Matlab, but sklearn does SVM (unless it's LinearSVC) using
libsvm internally (with minor tweaks on top), so you should expect the same
results.
On Tue, Mar 3, 2015 at 11:53 PM, Pagliari, Roberto
wrote:
> Has anybody ever compared Matlab SVM vs sklearn or libsvm?
>
>
>
> It’d be i
Has anybody ever compared Matlab SVM vs sklearn or libsvm?
It'd be interested to know about the difference in accuracy between them (using
the same dataset and similar settings).
Thank you,
--
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