classifiersplitevaluator.html

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<DT><B>Returns:</B><DD>an array containing objects of the type of each result column. 
 The objects should be Strings, or Doubles.</DL>
</DD>
</DL>
<HR>

<A NAME="getResultNames()"><!-- --></A><H3>
getResultNames</H3>
<PRE>
public java.lang.String[] <B>getResultNames</B>()</PRE>
<DL>
<DD>Gets the names of each of the result columns produced for a single run.
 The number of result fields must be constant
 for a given SplitEvaluator.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/experiment/SplitEvaluator.html#getResultNames()">getResultNames</A></CODE> in interface <CODE><A HREF="../../weka/experiment/SplitEvaluator.html" title="interface in weka.experiment">SplitEvaluator</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>an array containing the name of each result column</DL>
</DD>
</DL>
<HR>

<A NAME="getResult(weka.core.Instances, weka.core.Instances)"><!-- --></A><H3>
getResult</H3>
<PRE>
public java.lang.Object[] <B>getResult</B>(<A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;train,
                                    <A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;test)
                             throws java.lang.Exception</PRE>
<DL>
<DD>Gets the results for the supplied train and test datasets. Now performs
 a deep copy of the classifier before it is built and evaluated (just in case
 the classifier is not initialized properly in buildClassifier()).
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/experiment/SplitEvaluator.html#getResult(weka.core.Instances, weka.core.Instances)">getResult</A></CODE> in interface <CODE><A HREF="../../weka/experiment/SplitEvaluator.html" title="interface in weka.experiment">SplitEvaluator</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>train</CODE> - the training Instances.<DD><CODE>test</CODE> - the testing Instances.
<DT><B>Returns:</B><DD>the results stored in an array. The objects stored in
 the array may be Strings, Doubles, or null (for the missing value).
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if a problem occurs while getting the results</DL>
</DD>
</DL>
<HR>

<A NAME="classifierTipText()"><!-- --></A><H3>
classifierTipText</H3>
<PRE>
public java.lang.String <B>classifierTipText</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="getClassifier()"><!-- --></A><H3>
getClassifier</H3>
<PRE>
public <A HREF="../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A> <B>getClassifier</B>()</PRE>
<DL>
<DD>Get the value of Classifier.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>Value of Classifier.</DL>
</DD>
</DL>
<HR>

<A NAME="setClassifier(weka.classifiers.Classifier)"><!-- --></A><H3>
setClassifier</H3>
<PRE>
public void <B>setClassifier</B>(<A HREF="../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A>&nbsp;newClassifier)</PRE>
<DL>
<DD>Sets the classifier.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newClassifier</CODE> - the new classifier to use.</DL>
</DD>
</DL>
<HR>

<A NAME="getClassForIRStatistics()"><!-- --></A><H3>
getClassForIRStatistics</H3>
<PRE>
public int <B>getClassForIRStatistics</B>()</PRE>
<DL>
<DD>Get the value of ClassForIRStatistics.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>Value of ClassForIRStatistics.</DL>
</DD>
</DL>
<HR>

<A NAME="setClassForIRStatistics(int)"><!-- --></A><H3>
setClassForIRStatistics</H3>
<PRE>
public void <B>setClassForIRStatistics</B>(int&nbsp;v)</PRE>
<DL>
<DD>Set the value of ClassForIRStatistics.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>v</CODE> - Value to assign to ClassForIRStatistics.</DL>
</DD>
</DL>
<HR>

<A NAME="getAttributeID()"><!-- --></A><H3>
getAttributeID</H3>
<PRE>
public int <B>getAttributeID</B>()</PRE>
<DL>
<DD>Get the index of Attibute Identifying the instances
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>index of outputed Attribute.</DL>
</DD>
</DL>
<HR>

<A NAME="setAttributeID(int)"><!-- --></A><H3>
setAttributeID</H3>
<PRE>
public void <B>setAttributeID</B>(int&nbsp;v)</PRE>
<DL>
<DD>Set the index of Attibute Identifying the instances
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>v</CODE> - index the attribute to output</DL>
</DD>
</DL>
<HR>

<A NAME="getPredTargetColumn()"><!-- --></A><H3>
getPredTargetColumn</H3>
<PRE>
public boolean <B>getPredTargetColumn</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>true if the prediction and target columns must be outputed.</DL>
</DD>
</DL>
<HR>

<A NAME="setPredTargetColumn(boolean)"><!-- --></A><H3>
setPredTargetColumn</H3>
<PRE>
public void <B>setPredTargetColumn</B>(boolean&nbsp;v)</PRE>
<DL>
<DD>Set the flag for prediction and target output.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>v</CODE> - true if the 2 columns have to be outputed. false otherwise.</DL>
</DD>
</DL>
<HR>

<A NAME="setClassifierName(java.lang.String)"><!-- --></A><H3>
setClassifierName</H3>
<PRE>
public void <B>setClassifierName</B>(java.lang.String&nbsp;newClassifierName)
                       throws java.lang.Exception</PRE>
<DL>
<DD>Set the Classifier to use, given it's class name. A new classifier will be
 instantiated.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the class name is invalid.</DL>
</DD>
</DL>
<HR>

<A NAME="getRawResultOutput()"><!-- --></A><H3>
getRawResultOutput</H3>
<PRE>
public java.lang.String <B>getRawResultOutput</B>()</PRE>
<DL>
<DD>Gets the raw output from the classifier
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/experiment/SplitEvaluator.html#getRawResultOutput()">getRawResultOutput</A></CODE> in interface <CODE><A HREF="../../weka/experiment/SplitEvaluator.html" title="interface in weka.experiment">SplitEvaluator</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the raw output from the classifier</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Returns a text description of the split evaluator.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>a text description of the split evaluator.</DL>
</DD>
</DL>
<!-- ========= END OF CLASS DATA ========= -->
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