distributionutils.html

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public <B>DistributionUtils</B>()</PRE>
<DL>
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<A NAME="interpolate(weka.classifiers.misc.monotone.CumulativeDiscreteDistribution, weka.classifiers.misc.monotone.CumulativeDiscreteDistribution, double)"><!-- --></A><H3>
interpolate</H3>
<PRE>
public static <A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A> <B>interpolate</B>(<A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A>&nbsp;cdf1,
                                                         <A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A>&nbsp;cdf2,
                                                         double&nbsp;s)
                                                  throws java.lang.IllegalArgumentException</PRE>
<DL>
<DD>Compute a linear interpolation between the two given 
  <code> CumulativeDiscreteDistribution. </code>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>cdf1</CODE> - the first <code> CumulativeDiscreteDistribution </code><DD><CODE>cdf2</CODE> - the second <code> CumulativeDiscreteDistribution </code><DD><CODE>s</CODE> - the interpolation parameter
<DT><B>Returns:</B><DD>(1 - s) &times; cdf1 + s &times; cdf2
<DT><B>Throws:</B>
<DD><CODE>java.lang.IllegalArgumentException</CODE> - if the two distributions
  don't have the same size or if the parameter <code> s </code>
  is not in the range [0,1]</DL>
</DD>
</DL>
<HR>

<A NAME="interpolate(weka.classifiers.misc.monotone.CumulativeDiscreteDistribution, weka.classifiers.misc.monotone.CumulativeDiscreteDistribution, double[])"><!-- --></A><H3>
interpolate</H3>
<PRE>
public static <A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A> <B>interpolate</B>(<A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A>&nbsp;cdf1,
                                                         <A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A>&nbsp;cdf2,
                                                         double[]&nbsp;s)
                                                  throws java.lang.IllegalArgumentException</PRE>
<DL>
<DD>Compute a linear interpolation between the two given 
  <code> CumulativeDiscreteDistribution. </code>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>cdf1</CODE> - the first <code> CumulativeDiscreteDistribution </code><DD><CODE>cdf2</CODE> - the second <code> CumulativeDiscreteDistribution </code><DD><CODE>s</CODE> - the interpolation parameters, only the relevant number
  of entries is used, so the array may be longer than the common
  length of <code> cdf1 </code> and <code> cdf2 </code>
<DT><B>Returns:</B><DD>(1 - s) &times; cdf1 + s &times; cdf2, or more specifically
  a distribution cd such that <code> 
  cd.getCumulativeProbability(i) = 
  (1-s[i]) &times; cdf1.getCumulativeProbability(i) + 
  s[i] &times; cdf2.getCumulativeProbability(i) </code>
<DT><B>Throws:</B>
<DD><CODE>java.lang.IllegalArgumentException</CODE> - if the two distributions
  don't have the same size or if the array <code> s </code>
  contains parameters not in the range <code> [0,1] </code></DL>
</DD>
</DL>
<HR>

<A NAME="interpolate(weka.classifiers.misc.monotone.DiscreteDistribution, weka.classifiers.misc.monotone.DiscreteDistribution, double)"><!-- --></A><H3>
interpolate</H3>
<PRE>
public static <A HREF="../../../../weka/classifiers/misc/monotone/DiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">DiscreteDistribution</A> <B>interpolate</B>(<A HREF="../../../../weka/classifiers/misc/monotone/DiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">DiscreteDistribution</A>&nbsp;ddf1,
                                               <A HREF="../../../../weka/classifiers/misc/monotone/DiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">DiscreteDistribution</A>&nbsp;ddf2,
                                               double&nbsp;s)
                                        throws java.lang.IllegalArgumentException</PRE>
<DL>
<DD>Compute a linear interpolation between the two given 
  <code> DiscreteDistribution. </code>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>ddf1</CODE> - the first <code> DiscreteDistribution </code><DD><CODE>ddf2</CODE> - the second <code> DiscreteDistribution </code><DD><CODE>s</CODE> - the interpolation parameter
<DT><B>Returns:</B><DD><code> (1 - s) &times; ddf1 + s &times; ddf2 </code>
<DT><B>Throws:</B>
<DD><CODE>java.lang.IllegalArgumentException</CODE> - if the two distributions
  don't have the same size or if the parameter <code> s </code>
  is not in the range [0,1]</DL>
</DD>
</DL>
<HR>

<A NAME="takeMin(weka.classifiers.misc.monotone.CumulativeDiscreteDistribution, weka.classifiers.misc.monotone.CumulativeDiscreteDistribution)"><!-- --></A><H3>
takeMin</H3>
<PRE>
public static <A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A> <B>takeMin</B>(<A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A>&nbsp;cdf1,
                                                     <A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A>&nbsp;cdf2)
                                              throws java.lang.IllegalArgumentException</PRE>
<DL>
<DD>Create a new <code> CumulativeDiscreteDistribution </code>
 that is the minimum of the two given <code>
 CumulativeDiscreteDistribution. </code>
 Each component of the resulting probability distribution 
 is the minimum of the two corresponding components. <br/>
 Note: despite of its name, the returned cumulative probability
 distribution dominates both the arguments of this method.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>cdf1</CODE> - first <code> CumulativeDiscreteDistribution </code><DD><CODE>cdf2</CODE> - second <code> CumulativeDiscreteDistribution </code>
<DT><B>Returns:</B><DD>the minimum of the two distributions
<DT><B>Throws:</B>
<DD><CODE>java.lang.IllegalArgumentException</CODE> - if the two distributions
 dont't have the same length</DL>
</DD>
</DL>
<HR>

<A NAME="takeMax(weka.classifiers.misc.monotone.CumulativeDiscreteDistribution, weka.classifiers.misc.monotone.CumulativeDiscreteDistribution)"><!-- --></A><H3>
takeMax</H3>
<PRE>
public static <A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A> <B>takeMax</B>(<A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A>&nbsp;cdf1,
                                                     <A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A>&nbsp;cdf2)
                                              throws java.lang.IllegalArgumentException</PRE>
<DL>
<DD>Create a new <code> CumulativeDiscreteDistribution </code>
 that is the maximum of the two given <code>
 CumulativeDiscreteDistribution. </code>
 Each component of the resulting probability distribution 
 is the maximum of the two corresponding components.
 Note: despite of its name, the returned cumulative probability
 distribution is dominated by both the arguments of this method.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>cdf1</CODE> - first <code> CumulativeDiscreteDistribution </code><DD><CODE>cdf2</CODE> - second <code> CumulativeDiscreteDistribution </code>
<DT><B>Returns:</B><DD>the maximum of the two distributions
<DT><B>Throws:</B>
<DD><CODE>java.lang.IllegalArgumentException</CODE> - if the two distributions
 dont't have the same length</DL>
</DD>
</DL>
<HR>

<A NAME="getDistributionArray(weka.estimators.DiscreteEstimator)"><!-- --></A><H3>
getDistributionArray</H3>
<PRE>
public static double[] <B>getDistributionArray</B>(<A HREF="../../../../weka/estimators/DiscreteEstimator.html" title="class in weka.estimators">DiscreteEstimator</A>&nbsp;df)</PRE>
<DL>
<DD>Converts a <code> DiscreteEstimator </code> to an array of 
 doubles.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>df</CODE> - the <code> DiscreteEstimator </code> to be converted
<DT><B>Returns:</B><DD>an array of doubles representing the 
 <code> DiscreteEstimator </code></DL>
</DD>
</DL>
<HR>

<A NAME="getMinimalCumulativeDiscreteDistribution(int)"><!-- --></A><H3>
getMinimalCumulativeDiscreteDistribution</H3>
<PRE>
public static <A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A> <B>getMinimalCumulativeDiscreteDistribution</B>(int&nbsp;numClasses)
                                                                               throws java.lang.IllegalArgumentException</PRE>
<DL>
<DD>Get the minimal <code> CumulativeDiscreteDistribution </code>
 over <code> numClasses </code> elements.  This means that
 a probability of one is assigned to the first element.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>numClasses</CODE> - the number of elements
<DT><B>Returns:</B><DD>the minimal <code> CumulativeDiscreteDistribution </code>
 over the requested number of elements
<DT><B>Throws:</B>
<DD><CODE>java.lang.IllegalArgumentException</CODE> - if <code> numClasses </code> 
 is smaller or equal than 0</DL>
</DD>
</DL>
<HR>

<A NAME="getMaximalCumulativeDiscreteDistribution(int)"><!-- --></A><H3>
getMaximalCumulativeDiscreteDistribution</H3>
<PRE>
public static <A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A> <B>getMaximalCumulativeDiscreteDistribution</B>(int&nbsp;numClasses)
                                                                               throws java.lang.IllegalArgumentException</PRE>
<DL>
<DD>Get the maximal <code> CumulativeDiscreteDistribution </code>
 over <code> numClasses </code> elements.  This means that
 a probability of one is assigned to the last class.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>numClasses</CODE> - the number of elements
<DT><B>Returns:</B><DD>the maximal <code> CumulativeDiscreteDistribution </code>
 over the requested number of elements
<DT><B>Throws:</B>
<DD><CODE>java.lang.IllegalArgumentException</CODE> - if <code> numClasses </code> 
 is smaller or equal than 0</DL>
</DD>
</DL>
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