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	<title>Comments on: Support Vector Machines (SVM) in Ruby</title>
	<atom:link href="http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/</link>
	<description>A goal is a dream with a deadline.</description>
	<pubDate>Sun, 05 Jul 2009 02:51:09 +0000</pubDate>
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		<title>By: crunchytoast.com &#187; Blog Archive &#187; &#8220;HMM, I&#8217;m a math nerd&#8221; or machine learning in Ruby!</title>
		<link>http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/comment-page-1/#comment-189837</link>
		<dc:creator>crunchytoast.com &#187; Blog Archive &#187; &#8220;HMM, I&#8217;m a math nerd&#8221; or machine learning in Ruby!</dc:creator>
		<pubDate>Fri, 01 May 2009 16:51:44 +0000</pubDate>
		<guid isPermaLink="false">http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/#comment-189837</guid>
		<description>[...] * Decision Tree Learning * Bayes Classification * Support Vector Machines [...]</description>
		<content:encoded><![CDATA[<p>[...] * Decision Tree Learning * Bayes Classification * Support Vector Machines [...]</p>
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	<item>
		<title>By: Spam or Ham: Some Experiments &#171; Charles and Bob&#8217;s Machine Learning Blog</title>
		<link>http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/comment-page-1/#comment-175797</link>
		<dc:creator>Spam or Ham: Some Experiments &#171; Charles and Bob&#8217;s Machine Learning Blog</dc:creator>
		<pubDate>Tue, 10 Mar 2009 08:56:49 +0000</pubDate>
		<guid isPermaLink="false">http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/#comment-175797</guid>
		<description>[...] that unlike other ruby svm solutions, we do not try to bind the svm into [...]</description>
		<content:encoded><![CDATA[<p>[...] that unlike other ruby svm solutions, we do not try to bind the svm into [...]</p>
]]></content:encoded>
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	<item>
		<title>By: Recent Faves Tagged With "textmining" : MyNetFaves</title>
		<link>http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/comment-page-1/#comment-172866</link>
		<dc:creator>Recent Faves Tagged With "textmining" : MyNetFaves</dc:creator>
		<pubDate>Fri, 27 Feb 2009 10:20:37 +0000</pubDate>
		<guid isPermaLink="false">http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/#comment-172866</guid>
		<description>[...] public links &gt;&gt; textmining    Support Vector Machines (SVM) in Ruby - igvita.com First saved by cseegraef &#124; 11 days ago      Text-mining at ERBI : Nothing is 100%; please comment [...]</description>
		<content:encoded><![CDATA[<p>[...] public links &gt;&gt; textmining    Support Vector Machines (SVM) in Ruby - igvita.com First saved by cseegraef | 11 days ago      Text-mining at ERBI : Nothing is 100%; please comment [...]</p>
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	<item>
		<title>By: Tom Zeng</title>
		<link>http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/comment-page-1/#comment-171741</link>
		<dc:creator>Tom Zeng</dc:creator>
		<pubDate>Mon, 23 Feb 2009 03:20:21 +0000</pubDate>
		<guid isPermaLink="false">http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/#comment-171741</guid>
		<description>Ilya, I just published a Ruby interface to LIBSVM using SWIG. It exposes the full LIBSVM functionality. So the following should solved some of your readers' problem:
m.save('test.model') # save model
m = Model('test.model') # load model
I included your example above (hope it's okay)
It's available at:
git clone git://github.com/tomz/libsvm-ruby-swig.git</description>
		<content:encoded><![CDATA[<p>Ilya, I just published a Ruby interface to LIBSVM using SWIG. It exposes the full LIBSVM functionality. So the following should solved some of your readers&#8217; problem:<br />
m.save(&#8217;test.model&#8217;) # save model<br />
m = Model(&#8217;test.model&#8217;) # load model<br />
I included your example above (hope it&#8217;s okay)<br />
It&#8217;s available at:<br />
git clone git://github.com/tomz/libsvm-ruby-swig.git</p>
]]></content:encoded>
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	<item>
		<title>By: Recent Links Tagged With "textmining" - JabberTags</title>
		<link>http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/comment-page-1/#comment-142110</link>
		<dc:creator>Recent Links Tagged With "textmining" - JabberTags</dc:creator>
		<pubDate>Wed, 29 Oct 2008 14:35:10 +0000</pubDate>
		<guid isPermaLink="false">http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/#comment-142110</guid>
		<description>[...] public links &gt;&gt; textmining   Support Vector Machines (SVM) in Ruby - igvita.com Saved by reihinofan on Tue 28-10-2008   Have BI Vendors Mastered Text Mining? Saved by tai234 on [...]</description>
		<content:encoded><![CDATA[<p>[...] public links &gt;&gt; textmining   Support Vector Machines (SVM) in Ruby - igvita.com Saved by reihinofan on Tue 28-10-2008   Have BI Vendors Mastered Text Mining? Saved by tai234 on [...]</p>
]]></content:encoded>
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	<item>
		<title>By: Vasilis</title>
		<link>http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/comment-page-1/#comment-122430</link>
		<dc:creator>Vasilis</dc:creator>
		<pubDate>Tue, 02 Sep 2008 10:01:27 +0000</pubDate>
		<guid isPermaLink="false">http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/#comment-122430</guid>
		<description>Very nice article,
But I am getting different results depending in which order i run the different kernels. Given the order you specify above the radio kernel makes 0 errors on the test set, if you run the radial kernel alone or first you get 2 errors. Is there a need to initialize the problem after each kernel run, or did I understand it wrong?
Also do you have any pointers on info regarding document tagging with the above method?

Thanks again for the article..</description>
		<content:encoded><![CDATA[<p>Very nice article,<br />
But I am getting different results depending in which order i run the different kernels. Given the order you specify above the radio kernel makes 0 errors on the test set, if you run the radial kernel alone or first you get 2 errors. Is there a need to initialize the problem after each kernel run, or did I understand it wrong?<br />
Also do you have any pointers on info regarding document tagging with the above method?</p>
<p>Thanks again for the article..</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Using Ruby for Bioinformatics Applications at Bleeding Edge Biotech</title>
		<link>http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/comment-page-1/#comment-103023</link>
		<dc:creator>Using Ruby for Bioinformatics Applications at Bleeding Edge Biotech</dc:creator>
		<pubDate>Tue, 06 May 2008 16:07:38 +0000</pubDate>
		<guid isPermaLink="false">http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/#comment-103023</guid>
		<description>[...] Support Vector Machines in Ruby Fast Artificial Neural Network library [...]</description>
		<content:encoded><![CDATA[<p>[...] Support Vector Machines in Ruby Fast Artificial Neural Network library [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Ben</title>
		<link>http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/comment-page-1/#comment-102927</link>
		<dc:creator>Ben</dc:creator>
		<pubDate>Sat, 03 May 2008 08:52:04 +0000</pubDate>
		<guid isPermaLink="false">http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/#comment-102927</guid>
		<description>Excellent article. Thanks!</description>
		<content:encoded><![CDATA[<p>Excellent article. Thanks!</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: sean</title>
		<link>http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/comment-page-1/#comment-102083</link>
		<dc:creator>sean</dc:creator>
		<pubDate>Mon, 17 Mar 2008 02:51:03 +0000</pubDate>
		<guid isPermaLink="false">http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/#comment-102083</guid>
		<description>What, no discussion of stemming? I would hope that nobody goes about implementing such a system without looking into normalizing and stemming the bag of words before creating a dictionary!</description>
		<content:encoded><![CDATA[<p>What, no discussion of stemming? I would hope that nobody goes about implementing such a system without looking into normalizing and stemming the bag of words before creating a dictionary!</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Richard heycock</title>
		<link>http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/comment-page-1/#comment-101623</link>
		<dc:creator>Richard heycock</dc:creator>
		<pubDate>Sat, 23 Feb 2008 04:18:01 +0000</pubDate>
		<guid isPermaLink="false">http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/#comment-101623</guid>
		<description>Hey Jason,

The snowball project has a good stop word list:
 http://snowball.tartarus.org/dist/snowball_all.tgz

It's got lists for a fair few European languages as well.</description>
		<content:encoded><![CDATA[<p>Hey Jason,</p>
<p>The snowball project has a good stop word list:<br />
 <a href="http://snowball.tartarus.org/dist/snowball_all.tgz" rel="nofollow">http://snowball.tartarus.org/dist/snowball_all.tgz</a></p>
<p>It&#8217;s got lists for a fair few European languages as well.</p>
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