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<DD>Returns the tip text for this property<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>tip text for this property suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="setLoss(double)"><!-- --></A><H3>setLoss</H3><PRE>public void <B>setLoss</B>(double value)</PRE><DL><DD>Sets the epsilon in loss function of epsilon-SVR (default 0.1)<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>value</CODE> - the loss epsilon</DL></DD></DL><HR><A NAME="getLoss()"><!-- --></A><H3>getLoss</H3><PRE>public double <B>getLoss</B>()</PRE><DL><DD>Gets the epsilon in loss function of epsilon-SVR<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the loss epsilon</DL></DD></DL><HR><A NAME="lossTipText()"><!-- --></A><H3>lossTipText</H3><PRE>public java.lang.String <B>lossTipText</B>()</PRE><DL><DD>Returns the tip text for this property<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>tip text for this property suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="setShrinking(boolean)"><!-- --></A><H3>setShrinking</H3><PRE>public void <B>setShrinking</B>(boolean value)</PRE><DL><DD>whether to use the shrinking heuristics<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>value</CODE> - true uses shrinking</DL></DD></DL><HR><A NAME="getShrinking()"><!-- --></A><H3>getShrinking</H3><PRE>public boolean <B>getShrinking</B>()</PRE><DL><DD>whether to use the shrinking heuristics<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>true, if shrinking is used</DL></DD></DL><HR><A NAME="shrinkingTipText()"><!-- --></A><H3>shrinkingTipText</H3><PRE>public java.lang.String <B>shrinkingTipText</B>()</PRE><DL><DD>Returns the tip text for this property<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>tip text for this property suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="setNormalize(boolean)"><!-- --></A><H3>setNormalize</H3><PRE>public void <B>setNormalize</B>(boolean value)</PRE><DL><DD>whether to normalize input data<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>value</CODE> - whether to normalize the data</DL></DD></DL><HR><A NAME="getNormalize()"><!-- --></A><H3>getNormalize</H3><PRE>public boolean <B>getNormalize</B>()</PRE><DL><DD>whether to normalize input data<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>true, if the data is normalized</DL></DD></DL><HR><A NAME="normalizeTipText()"><!-- --></A><H3>normalizeTipText</H3><PRE>public java.lang.String <B>normalizeTipText</B>()</PRE><DL><DD>Returns the tip text for this property<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>tip text for this property suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="setWeights(java.lang.String)"><!-- --></A><H3>setWeights</H3><PRE>public void <B>setWeights</B>(java.lang.String weightsStr)</PRE><DL><DD>Sets the parameters C of class i to weight[i]*C, for C-SVC (default 1). Blank separated list of doubles.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>weightsStr</CODE> - the weights (doubles, separated by blanks)</DL></DD></DL><HR><A NAME="getWeights()"><!-- --></A><H3>getWeights</H3><PRE>public java.lang.String <B>getWeights</B>()</PRE><DL><DD>Gets the parameters C of class i to weight[i]*C, for C-SVC (default 1). Blank separated doubles.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the weights (doubles separated by blanks)</DL></DD></DL><HR><A NAME="weightsTipText()"><!-- --></A><H3>weightsTipText</H3><PRE>public java.lang.String <B>weightsTipText</B>()</PRE><DL><DD>Returns the tip text for this property<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>tip text for this property suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="setProbabilityEstimates(boolean)"><!-- --></A><H3>setProbabilityEstimates</H3><PRE>public void <B>setProbabilityEstimates</B>(boolean value)</PRE><DL><DD>Returns whether probability estimates are generated instead of -1/+1 for classification problems.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>value</CODE> - whether to predict probabilities</DL></DD></DL><HR><A NAME="getProbabilityEstimates()"><!-- --></A><H3>getProbabilityEstimates</H3><PRE>public boolean <B>getProbabilityEstimates</B>()</PRE><DL><DD>Sets whether to generate probability estimates instead of -1/+1 for classification problems.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>true, if probability estimates should be returned</DL></DD></DL><HR><A NAME="probabilityEstimatesTipText()"><!-- --></A><H3>probabilityEstimatesTipText</H3><PRE>public java.lang.String <B>probabilityEstimatesTipText</B>()</PRE><DL><DD>Returns the tip text for this property<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>tip text for this property suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="classifyInstance(weka.core.Instance)"><!-- --></A><H3>classifyInstance</H3><PRE>public double <B>classifyInstance</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A> instance) throws java.lang.Exception</PRE><DL><DD>classifies the given instance<P><DD><DL><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#classifyInstance(weka.core.Instance)">classifyInstance</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to classify<DT><B>Returns:</B><DD>the classification<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if an error occurs</DL></DD></DL><HR><A NAME="distributionForInstance(weka.core.Instance)"><!-- --></A><H3>distributionForInstance</H3><PRE>public double[] <B>distributionForInstance</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A> instance) throws java.lang.Exception</PRE><DL><DD>Computes the distribution for a given instance<P><DD><DL><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance for which distribution is computed<DT><B>Returns:</B><DD>the distribution<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the distribution can't be computed successfully</DL></DD></DL><HR><A NAME="getCapabilities()"><!-- --></A><H3>getCapabilities</H3><PRE>public <A HREF="../../../weka/core/Capabilities.html" title="class in weka.core">Capabilities</A> <B>getCapabilities</B>()</PRE><DL><DD>Returns default capabilities of the classifier.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/CapabilitiesHandler.html#getCapabilities()">getCapabilities</A></CODE> in interface <CODE><A HREF="../../../weka/core/CapabilitiesHandler.html" title="interface in weka.core">CapabilitiesHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#getCapabilities()">getCapabilities</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>the capabilities of this classifier<DT><B>See Also:</B><DD><A HREF="../../../weka/core/Capabilities.html" title="class in weka.core"><CODE>Capabilities</CODE></A></DL></DD></DL><HR><A NAME="buildClassifier(weka.core.Instances)"><!-- --></A><H3>buildClassifier</H3><PRE>public void <B>buildClassifier</B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> insts) throws java.lang.Exception</PRE><DL><DD>builds the classifier<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#buildClassifier(weka.core.Instances)">buildClassifier</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>insts</CODE> - the training instances<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if libsvm classes not in classpath or libsvm encountered a problem</DL></DD></DL><HR><A NAME="toString()"><!-- --></A><H3>toString</H3><PRE>public java.lang.String <B>toString</B>()</PRE><DL><DD>returns a string representation<P><DD><DL><DT><B>Overrides:</B><DD><CODE>toString</CODE> in class <CODE>java.lang.Object</CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string representation</DL></DD></DL><HR><A NAME="main(java.lang.String[])"><!-- --></A><H3>main</H3><PRE>public static void <B>main</B>(java.lang.String[] args)</PRE><DL><DD>Main method for testing this class.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>args</CODE> - the options</DL></DD></DL><!-- ========= END OF CLASS DATA ========= --><HR><!-- ======= START OF BOTTOM NAVBAR ====== --><A NAME="navbar_bottom"><!-- --></A><A HREF="#skip-navbar_bottom" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_bottom_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR=
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