predictionmodel.html

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<A NAME="getLabel()"><!-- --></A><H3>
getLabel</H3>
<PRE>
public <A HREF="../../../../com/rapidminer/example/Attribute.html" title="interface in com.rapidminer.example">Attribute</A> <B>getLabel</B>()</PRE>
<DL>
<DD>Returns the label attribute.
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<DD><DL>
</DL>
</DD>
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<A NAME="checkCompatibility(com.rapidminer.example.ExampleSet)"><!-- --></A><H3>
checkCompatibility</H3>
<PRE>
protected void <B>checkCompatibility</B>(<A HREF="../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A>&nbsp;exampleSet)
                           throws <A HREF="../../../../com/rapidminer/operator/OperatorException.html" title="class in com.rapidminer.operator">OperatorException</A></PRE>
<DL>
<DD>This method is invoked before the model is actually applied. The default implementation 
  performs some basic compatibility checks and writes warnings if the given example set
  (for applying the model) does not fit the training example set. Subclasses might override
  this method and might throw exceptions which will prevent the application of the model.
<P>
<DD><DL>

<DT><B>Throws:</B>
<DD><CODE><A HREF="../../../../com/rapidminer/operator/OperatorException.html" title="class in com.rapidminer.operator">OperatorException</A></CODE></DL>
</DD>
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<A NAME="createPredictedLabel(com.rapidminer.example.ExampleSet, com.rapidminer.example.Attribute)"><!-- --></A><H3>
createPredictedLabel</H3>
<PRE>
public static <A HREF="../../../../com/rapidminer/example/Attribute.html" title="interface in com.rapidminer.example">Attribute</A> <B>createPredictedLabel</B>(<A HREF="../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A>&nbsp;exampleSet,
                                             <A HREF="../../../../com/rapidminer/example/Attribute.html" title="interface in com.rapidminer.example">Attribute</A>&nbsp;label)</PRE>
<DL>
<DD>Creates a predicted label for the given example set based on the label
 attribute defined for this prediction model. Subclasses which override
 this method should first invoke super.createPredictedLabel(exampleSet)
 and should then replace the attribute with a new predicted label
 attribute via a method call like
 <code>exampleSet.replaceAttribute(predictedLabel, AttributeFactory.changeValueType(predictedLabel, Ontology.REAL)); </code>.
 This might be useful in cases where a crisp nominal prediction should be
 replaced by confidence predictions.
<P>
<DD><DL>
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<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
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<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../com/rapidminer/report/Readable.html#toString()">toString</A></CODE> in interface <CODE><A HREF="../../../../com/rapidminer/report/Readable.html" title="interface in com.rapidminer.report">Readable</A></CODE><DT><B>Overrides:</B><DD><CODE>toString</CODE> in class <CODE>java.lang.Object</CODE></DL>
</DD>
<DD><DL>
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<A NAME="removePredictedLabel(com.rapidminer.example.ExampleSet)"><!-- --></A><H3>
removePredictedLabel</H3>
<PRE>
public static void <B>removePredictedLabel</B>(<A HREF="../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A>&nbsp;exampleSet)</PRE>
<DL>
<DD>Helper method in order to lower memory consumption. This method should be
 invoked after a predicted label and confidence are not longer needed,
 e.g. after each crossvalidation run or after a meta learning iteration.
<P>
<DD><DL>
</DL>
</DD>
</DL>
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<A NAME="removePredictedLabel(com.rapidminer.example.ExampleSet, boolean, boolean)"><!-- --></A><H3>
removePredictedLabel</H3>
<PRE>
public static void <B>removePredictedLabel</B>(<A HREF="../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A>&nbsp;exampleSet,
                                        boolean&nbsp;removePredictionFromTable,
                                        boolean&nbsp;removeConfidencesFromTable)</PRE>
<DL>
<DD>Helper method in order to lower memory consumption. This method should be
 invoked after a predicted label and confidence are not longer needed,
 e.g. after each crossvalidation run or after a meta learning iteration.
<P>
<DD><DL>
</DL>
</DD>
</DL>
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<A NAME="copyPredictedLabel(com.rapidminer.example.ExampleSet, com.rapidminer.example.ExampleSet)"><!-- --></A><H3>
copyPredictedLabel</H3>
<PRE>
public static void <B>copyPredictedLabel</B>(<A HREF="../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A>&nbsp;source,
                                      <A HREF="../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A>&nbsp;destination)</PRE>
<DL>
<DD>Copies the predicted label from the source example set to the destination example set. 
  Does nothing if the source does not contain a predicted label.
<P>
<DD><DL>
</DL>
</DD>
</DL>
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