cumulativediscretedistribution.html

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<A NAME="CumulativeDiscreteDistribution(weka.estimators.DiscreteEstimator)"><!-- --></A><H3>
CumulativeDiscreteDistribution</H3>
<PRE>
public <B>CumulativeDiscreteDistribution</B>(<A HREF="../../../../weka/estimators/DiscreteEstimator.html" title="class in weka.estimators">DiscreteEstimator</A>&nbsp;e)</PRE>
<DL>
<DD>Create a discrete cumulative probability distribution based on a 
 <code> DiscreteEstimator. </code>
<P>
<DL>
<DT><B>Parameters:</B><DD><CODE>e</CODE> - the <code> DiscreteEstimator </code> on which the 
 cumulative probability distribution will be based</DL>
</DL>
<HR>

<A NAME="CumulativeDiscreteDistribution(weka.classifiers.misc.monotone.DiscreteDistribution)"><!-- --></A><H3>
CumulativeDiscreteDistribution</H3>
<PRE>
public <B>CumulativeDiscreteDistribution</B>(<A HREF="../../../../weka/classifiers/misc/monotone/DiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">DiscreteDistribution</A>&nbsp;d)</PRE>
<DL>
<DD>Create a <code> CumulativeDiscreteDistribution </code> based on a 
 <code> DiscreteDistribution. </code>
<P>
<DL>
<DT><B>Parameters:</B><DD><CODE>d</CODE> - the <code> DiscreteDistribution </code> on which the
 cumulative probability distribution will be based</DL>
</DL>
<HR>

<A NAME="CumulativeDiscreteDistribution(double[])"><!-- --></A><H3>
CumulativeDiscreteDistribution</H3>
<PRE>
public <B>CumulativeDiscreteDistribution</B>(double[]&nbsp;cdf)
                               throws java.lang.IllegalArgumentException</PRE>
<DL>
<DD>Create a <code> CumulativeDiscreteDistribution </code> based on an 
 array of doubles.  The array <code> cdf </code> is copied, so
 the caller can reuse the same array.
<P>
<DL>
<DT><B>Parameters:</B><DD><CODE>cdf</CODE> - an array that represents a valid discrete cumulative 
 probability distribution
<DT><B>Throws:</B>
<DD><CODE>java.lang.IllegalArgumentException</CODE> - if the array doesn't 
 represent a valid cumulative discrete distribution function</DL>
</DL>

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<A NAME="getNumSymbols()"><!-- --></A><H3>
getNumSymbols</H3>
<PRE>
public int <B>getNumSymbols</B>()</PRE>
<DL>
<DD>Get the number of elements over which the cumulative
 probability distribution is defined.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the number of elements over which the cumulative 
 probability distribution is defined.</DL>
</DD>
</DL>
<HR>

<A NAME="getCumulativeProbability(int)"><!-- --></A><H3>
getCumulativeProbability</H3>
<PRE>
public double <B>getCumulativeProbability</B>(int&nbsp;index)</PRE>
<DL>
<DD>Get the probability of finding an element 
 smaller or equal than <code> index. </code>
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>index</CODE> - the required index
<DT><B>Returns:</B><DD>the probability of finding an element &lt;= index</DL>
</DD>
</DL>
<HR>

<A NAME="toArray()"><!-- --></A><H3>
toArray</H3>
<PRE>
public double[] <B>toArray</B>()</PRE>
<DL>
<DD>Get an array representation of the cumulative probability
 distribution.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>an array of doubles representing the cumulative
 probability distribution</DL>
</DD>
</DL>
<HR>

<A NAME="stochasticDominatedBy(weka.classifiers.misc.monotone.CumulativeDiscreteDistribution)"><!-- --></A><H3>
stochasticDominatedBy</H3>
<PRE>
public boolean <B>stochasticDominatedBy</B>(<A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A>&nbsp;cdf)
                              throws java.lang.IllegalArgumentException</PRE>
<DL>
<DD>Returns if <code> this </code> is dominated by <code> cdf. </code> 
 This means that we check if, for all indices <code> i </code>, it
 holds that <code> this.getProbability(i) &gt;= cdf.getProbability(i).
 </code>
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>cdf</CODE> - the <code> CumulativeDiscreteDistribution </code>
 <code> this </code> is compared to
<DT><B>Returns:</B><DD><code> true </code> if <code> this </code> is dominated by 
 <code> cdf </code>, <code> false </code> otherwise
<DT><B>Throws:</B>
<DD><CODE>java.lang.IllegalArgumentException</CODE> - if the two distributions don't
 have the same length</DL>
</DD>
</DL>
<HR>

<A NAME="equals(java.lang.Object)"><!-- --></A><H3>
equals</H3>
<PRE>
public boolean <B>equals</B>(java.lang.Object&nbsp;o)</PRE>
<DL>
<DD>Indicates if the object <code> o </code> equals <code> this. </code>
 Note: for practical reasons I was forced to use a small tolerance
 whilst comparing the distributions, meaning that the transitivity
 property of <code> equals </code> is not guaranteed.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE>equals</CODE> in class <CODE>java.lang.Object</CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>o</CODE> - the reference object with which to compare
<DT><B>Returns:</B><DD><code> true </code> if <code> o </code> equals <code>
 this, </code> <code> false </code> otherwise</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Get a string representation of the cumulative probability
 distribution.
<P>
<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 string representation of the distribution.</DL>
</DD>
</DL>
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