regressionsplitevaluator.html

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<A NAME="getMeasure(java.lang.String)"><!-- --></A><H3>
getMeasure</H3>
<PRE>
public double <B>getMeasure</B>(java.lang.String&nbsp;additionalMeasureName)</PRE>
<DL>
<DD>Returns the value of the named measure<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../weka/core/AdditionalMeasureProducer.html#getMeasure(java.lang.String)">getMeasure</A></CODE> in interface <CODE><A HREF="../../weka/core/AdditionalMeasureProducer.html">AdditionalMeasureProducer</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>measureName</CODE> - the name of the measure to query for its value<DT><B>Returns:</B><DD>the value of the named measure<DT><B>Throws:</B><DD><CODE>java.lang.IllegalArgumentException</CODE> - if the named measure is not supported</DL>
</DD>
</DL>
<HR>

<A NAME="getKeyTypes()"><!-- --></A><H3>
getKeyTypes</H3>
<PRE>
public java.lang.Object[] <B>getKeyTypes</B>()</PRE>
<DL>
<DD>Gets the data types of each of the key columns produced for a single run.
 The number of key fields must be constant
 for a given SplitEvaluator.<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../weka/experiment/SplitEvaluator.html#getKeyTypes()">getKeyTypes</A></CODE> in interface <CODE><A HREF="../../weka/experiment/SplitEvaluator.html">SplitEvaluator</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>an array containing objects of the type of each key column. The 
 objects should be Strings, or Doubles.</DL>
</DD>
</DL>
<HR>

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

<A NAME="getKey()"><!-- --></A><H3>
getKey</H3>
<PRE>
public java.lang.Object[] <B>getKey</B>()</PRE>
<DL>
<DD>Gets the key describing the current SplitEvaluator. For example
 This may contain the name of the classifier used for classifier
 predictive evaluation. The number of key fields must be constant
 for a given SplitEvaluator.<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../weka/experiment/SplitEvaluator.html#getKey()">getKey</A></CODE> in interface <CODE><A HREF="../../weka/experiment/SplitEvaluator.html">SplitEvaluator</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>an array of objects containing the key.</DL>
</DD>
</DL>
<HR>

<A NAME="getResultTypes()"><!-- --></A><H3>
getResultTypes</H3>
<PRE>
public java.lang.Object[] <B>getResultTypes</B>()</PRE>
<DL>
<DD>Gets the data types of each of the result columns produced for a 
 single run. The number of result fields must be constant
 for a given SplitEvaluator.<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../weka/experiment/SplitEvaluator.html#getResultTypes()">getResultTypes</A></CODE> in interface <CODE><A HREF="../../weka/experiment/SplitEvaluator.html">SplitEvaluator</A></CODE></DL>
</DD>
<DD><DL>
<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.<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">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">Instances</A>&nbsp;train,
                                    <A HREF="../../weka/core/Instances.html">Instances</A>&nbsp;test)
                             throws java.lang.Exception</PRE>
<DL>
<DD>Gets the results for the supplied train and test datasets.<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">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<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">Classifier</A> <B>getClassifier</B>()</PRE>
<DL>
<DD>Get the value of Classifier.<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">Classifier</A>&nbsp;newClassifier)</PRE>
<DL>
<DD>Sets the classifier.<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="updateOptions()"><!-- --></A><H3>
updateOptions</H3>
<PRE>
protected void <B>updateOptions</B>()</PRE>
<DL>
<DD>Updates the options that the current classifier is using.<DD><DL>
</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.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newClassifier</CODE> - the Classifier class name.<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<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">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.<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 text description of the split evaluator.</DL>
</DD>
</DL>
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