nominalprediction.html

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<B>Constructor Detail</B></FONT></TD>
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<A NAME="NominalPrediction(double, double[])"><!-- --></A><H3>
NominalPrediction</H3>
<PRE>
public <B>NominalPrediction</B>(double&nbsp;actual,
                         double[]&nbsp;distribution)</PRE>
<DL>
<DD>Creates the NominalPrediction object with a default weight of 1.0.<DD><DL>
<DT><B>Parameters:</B><DD><CODE>actual</CODE> - the actual value, or MISSING_VALUE.<DD><CODE>distribution</CODE> - the predicted probability distribution. Use 
 NominalPrediction.makeDistribution() if you only know the predicted value.</DL>
</DD>
</DL>
<HR>

<A NAME="NominalPrediction(double, double[], double)"><!-- --></A><H3>
NominalPrediction</H3>
<PRE>
public <B>NominalPrediction</B>(double&nbsp;actual,
                         double[]&nbsp;distribution,
                         double&nbsp;weight)</PRE>
<DL>
<DD>Creates the NominalPrediction object.<DD><DL>
<DT><B>Parameters:</B><DD><CODE>actual</CODE> - the actual value, or MISSING_VALUE.<DD><CODE>distribution</CODE> - the predicted probability distribution. Use 
 NominalPrediction.makeDistribution() if you only know the predicted value.<DD><CODE>weight</CODE> - the weight assigned to the prediction.</DL>
</DD>
</DL>

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<A NAME="distribution()"><!-- --></A><H3>
distribution</H3>
<PRE>
public double[] <B>distribution</B>()</PRE>
<DL>
<DD>Gets the predicted probabilities<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="actual()"><!-- --></A><H3>
actual</H3>
<PRE>
public double <B>actual</B>()</PRE>
<DL>
<DD>Gets the actual class value.<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../../weka/classifiers/evaluation/Prediction.html#actual()">actual</A></CODE> in interface <CODE><A HREF="../../../weka/classifiers/evaluation/Prediction.html">Prediction</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the actual class value, or MISSING_VALUE if no
 prediction was made.</DL>
</DD>
</DL>
<HR>

<A NAME="predicted()"><!-- --></A><H3>
predicted</H3>
<PRE>
public double <B>predicted</B>()</PRE>
<DL>
<DD>Gets the predicted class value.<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../../weka/classifiers/evaluation/Prediction.html#predicted()">predicted</A></CODE> in interface <CODE><A HREF="../../../weka/classifiers/evaluation/Prediction.html">Prediction</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the predicted class value, or MISSING_VALUE if no
 prediction was made.</DL>
</DD>
</DL>
<HR>

<A NAME="weight()"><!-- --></A><H3>
weight</H3>
<PRE>
public double <B>weight</B>()</PRE>
<DL>
<DD>Gets the weight assigned to this prediction. This is typically the weight
 of the test instance the prediction was made for.<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../../weka/classifiers/evaluation/Prediction.html#weight()">weight</A></CODE> in interface <CODE><A HREF="../../../weka/classifiers/evaluation/Prediction.html">Prediction</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the weight assigned to this prediction.</DL>
</DD>
</DL>
<HR>

<A NAME="margin()"><!-- --></A><H3>
margin</H3>
<PRE>
public double <B>margin</B>()</PRE>
<DL>
<DD>Calculates the prediction margin. This is defined as the difference
 between the probability predicted for the actual class and the highest
 predicted probability of the other classes.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the margin for this prediction, or
 MISSING_VALUE if either the actual or predicted value
 is missing.</DL>
</DD>
</DL>
<HR>

<A NAME="makeDistribution(double, int)"><!-- --></A><H3>
makeDistribution</H3>
<PRE>
public static double[] <B>makeDistribution</B>(double&nbsp;predictedClass,
                                        int&nbsp;numClasses)</PRE>
<DL>
<DD>Convert a single prediction into a probability distribution
 with all zero probabilities except the predicted value which
 has probability 1.0. If no prediction was made, all probabilities
 are zero.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>predictedClass</CODE> - the index of the predicted class, or 
 MISSING_VALUE if no prediction was made.<DD><CODE>numClasses</CODE> - the number of possible classes for this nominal
 prediction.<DT><B>Returns:</B><DD>the probability distribution.</DL>
</DD>
</DL>
<HR>

<A NAME="makeUniformDistribution(int)"><!-- --></A><H3>
makeUniformDistribution</H3>
<PRE>
public static double[] <B>makeUniformDistribution</B>(int&nbsp;numClasses)</PRE>
<DL>
<DD>Creates a uniform probability distribution -- where each of the
 possible classes is assigned equal probability.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>numClasses</CODE> - the number of possible classes for this nominal
 prediction.<DT><B>Returns:</B><DD>the probability distribution.</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Gets a human readable representation of this prediction.<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 human readable representation of this prediction.</DL>
</DD>
</DL>
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