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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>Mon, 15 Mar 2010 15:20:16 +0000</pubDate>
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		<title>By: Collaborative Filtering with Ensembles - igvita.com</title>
		<link>http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/comment-page-1/#comment-211166</link>
		<dc:creator>Collaborative Filtering with Ensembles - igvita.com</dc:creator>
		<pubDate>Fri, 04 Sep 2009 05:00:47 +0000</pubDate>
		<guid isPermaLink="false">http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/#comment-211166</guid>
		<description>[...] to make each predictor as unique as possible: use a different learning algorithm (decision trees, svm, svd), or use a different feature (random subspace method). Then, once you have many individual [...]</description>
		<content:encoded><![CDATA[<p>[...] to make each predictor as unique as possible: use a different learning algorithm (decision trees, svm, svd), or use a different feature (random subspace method). Then, once you have many individual [...]</p>
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	<item>
		<title>By: Ilya Grigorik</title>
		<link>http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/comment-page-1/#comment-210595</link>
		<dc:creator>Ilya Grigorik</dc:creator>
		<pubDate>Sun, 30 Aug 2009 02:20:03 +0000</pubDate>
		<guid isPermaLink="false">http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/#comment-210595</guid>
		<description>dagi3d: libsvm does have &lt;a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm/" rel="nofollow"&gt;multi-class classification&lt;/a&gt;. Not sure about a Ruby example, but the actual interface between binary or multi-class is virtually identical.</description>
		<content:encoded><![CDATA[<p>dagi3d: libsvm does have <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm/" rel="nofollow">multi-class classification</a>. Not sure about a Ruby example, but the actual interface between binary or multi-class is virtually identical.</p>
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	<item>
		<title>By: dagi3d</title>
		<link>http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/comment-page-1/#comment-210006</link>
		<dc:creator>dagi3d</dc:creator>
		<pubDate>Mon, 24 Aug 2009 08:57:53 +0000</pubDate>
		<guid isPermaLink="false">http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/#comment-210006</guid>
		<description>really nice post. one question, does libsvm allow multilabel classiffication? does anyone know an example in ruby?
thanks in advance</description>
		<content:encoded><![CDATA[<p>really nice post. one question, does libsvm allow multilabel classiffication? does anyone know an example in ruby?<br />
thanks in advance</p>
]]></content:encoded>
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	<item>
		<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>
]]></content:encoded>
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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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		<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>
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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>
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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>
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