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	<title>JDMP&#187; Java Data Mining Package &#187; How do I use a Classificator?</title>
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	<link>http://www.jdmp.org</link>
	<description>Java Data Mining Package</description>
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		<title>How do I use a Classificator?</title>
		<link>http://www.jdmp.org/how-do-i-use-a-classificator/</link>
		<comments>http://www.jdmp.org/how-do-i-use-a-classificator/#comments</comments>
		<pubDate>Sat, 17 Jan 2009 21:58:57 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Examples]]></category>
		<category><![CDATA[FAQ]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[DataSet]]></category>
		<category><![CDATA[Predict]]></category>
		<category><![CDATA[SVM]]></category>
		<category><![CDATA[Train]]></category>

		<guid isPermaLink="false">http://www.jdmp.org/?p=198</guid>
		<description><![CDATA[Try this example:

ClassificationDataSet dataSet = DataSetFactory.IRIS&#40;&#41;;
&#160;
SVMClassifier svm = new SVMClassifier&#40;&#41;;
&#160;
svm.train&#40;dataSet&#41;;
svm.predict&#40;dataSet&#41;;
&#160;
dataSet.showGUI&#40;&#41;;

If you get an error, you probably need LibSVM in your classpath.
]]></description>
			<content:encoded><![CDATA[<p>Try this example:</p>

<div class="wp_syntax"><div class="code"><pre class="java" style="font-family:monospace;">ClassificationDataSet dataSet <span style="color: #339933;">=</span> DataSetFactory.<span style="color: #006633;">IRIS</span><span style="color: #009900;">&#40;</span><span style="color: #009900;">&#41;</span><span style="color: #339933;">;</span>
&nbsp;
SVMClassifier svm <span style="color: #339933;">=</span> <span style="color: #000000; font-weight: bold;">new</span> SVMClassifier<span style="color: #009900;">&#40;</span><span style="color: #009900;">&#41;</span><span style="color: #339933;">;</span>
&nbsp;
svm.<span style="color: #006633;">train</span><span style="color: #009900;">&#40;</span>dataSet<span style="color: #009900;">&#41;</span><span style="color: #339933;">;</span>
svm.<span style="color: #006633;">predict</span><span style="color: #009900;">&#40;</span>dataSet<span style="color: #009900;">&#41;</span><span style="color: #339933;">;</span>
&nbsp;
dataSet.<span style="color: #006633;">showGUI</span><span style="color: #009900;">&#40;</span><span style="color: #009900;">&#41;</span><span style="color: #339933;">;</span></pre></div></div>

<p>If you get an error, you probably need LibSVM in your classpath.</p>
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		<item>
		<title>What analysis methods are supported?</title>
		<link>http://www.jdmp.org/what-analysis-methods-are-supported/</link>
		<comments>http://www.jdmp.org/what-analysis-methods-are-supported/#comments</comments>
		<pubDate>Fri, 21 Nov 2008 20:41:22 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[FAQ]]></category>
		<category><![CDATA[Bayesian Networks]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Naive Bayes]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Optimization]]></category>
		<category><![CDATA[Regression]]></category>
		<category><![CDATA[Support Vector Machine]]></category>
		<category><![CDATA[Weka]]></category>

		<guid isPermaLink="false">http://www.jdmp.org/?p=183</guid>
		<description><![CDATA[JDMP has most analysis methods for classification tasks: We support Naive Bayes, Neural Networks and classification trough regression directly, Support Vector Machine through the LibSVM library and many more classifiers through the Weka machine learning package.
Bayesian Networks, clustering and optimization methods are still experimental. 
]]></description>
			<content:encoded><![CDATA[<p>JDMP has most analysis methods for classification tasks: We support Naive Bayes, Neural Networks and classification trough regression directly, Support Vector Machine through the <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm/">LibSVM library</a> and many more classifiers through the <a href="http://www.cs.waikato.ac.nz/ml/weka/">Weka machine learning package</a>.<br />
Bayesian Networks, clustering and optimization methods are still experimental. </p>
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