logistic.html

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<A NAME="m_LL"><!-- --></A><H3>
m_LL</H3>
<PRE>
protected double <B>m_LL</B></PRE>
<DL>
<DD>The log-likelihood of the built model</DL>
<HR>

<A NAME="m_LLn"><!-- --></A><H3>
m_LLn</H3>
<PRE>
protected double <B>m_LLn</B></PRE>
<DL>
<DD>The log-likelihood of the null model</DL>
<HR>

<A NAME="m_Par"><!-- --></A><H3>
m_Par</H3>
<PRE>
protected double[] <B>m_Par</B></PRE>
<DL>
<DD>The coefficients of the model</DL>
<HR>

<A NAME="m_NumPredictors"><!-- --></A><H3>
m_NumPredictors</H3>
<PRE>
protected int <B>m_NumPredictors</B></PRE>
<DL>
<DD>The number of attributes in the model</DL>
<HR>

<A NAME="m_ClassIndex"><!-- --></A><H3>
m_ClassIndex</H3>
<PRE>
protected int <B>m_ClassIndex</B></PRE>
<DL>
<DD>The index of the class attribute</DL>
<HR>

<A NAME="m_Ridge"><!-- --></A><H3>
m_Ridge</H3>
<PRE>
protected double <B>m_Ridge</B></PRE>
<DL>
<DD>The ridge parameter.</DL>
<HR>

<A NAME="m_Debug"><!-- --></A><H3>
m_Debug</H3>
<PRE>
protected boolean <B>m_Debug</B></PRE>
<DL>
<DD>Debugging output</DL>

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<A NAME="Logistic()"><!-- --></A><H3>
Logistic</H3>
<PRE>
public <B>Logistic</B>()</PRE>
<DL>
</DL>

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<A NAME="lnsrch(int, double[], double, double[], double[], double[], double, double[][], double[])"><!-- --></A><H3>
lnsrch</H3>
<PRE>
public void <B>lnsrch</B>(int&nbsp;n,
                   double[]&nbsp;xold,
                   double&nbsp;fold,
                   double[]&nbsp;g,
                   double[]&nbsp;p,
                   double[]&nbsp;x,
                   double&nbsp;stpmax,
                   double[][]&nbsp;X,
                   double[]&nbsp;Y)
            throws java.lang.Exception</PRE>
<DL>
<DD>Finds a new point x in the direction p from
 a point xold at which the value of the function
 has decreased sufficiently.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>n</CODE> - number of variables<DD><CODE>xold</CODE> - old point<DD><CODE>fold</CODE> - value at that point<DD><CODE>g</CODE> - gtradient at that point<DD><CODE>p</CODE> - direction<DD><CODE>x</CODE> - new value along direction p from xold<DD><CODE>stpmax</CODE> - maximum step length<DD><CODE>X</CODE> - instance data<DD><CODE>Y</CODE> - class values<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if an error occurs</DL>
</DD>
</DL>
<HR>

<A NAME="Norm(double)"><!-- --></A><H3>
Norm</H3>
<PRE>
protected static double <B>Norm</B>(double&nbsp;z)</PRE>
<DL>
<DD>Returns probability.<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="evaluateProbability(double[])"><!-- --></A><H3>
evaluateProbability</H3>
<PRE>
protected double <B>evaluateProbability</B>(double[]&nbsp;instDat)</PRE>
<DL>
<DD>Evaluate the probability for this point using the current coefficients<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instDat</CODE> - the instance data<DT><B>Returns:</B><DD>the probability for this instance</DL>
</DD>
</DL>
<HR>

<A NAME="calculateLogLikelihood(double[][], double[], weka.core.Matrix, double[])"><!-- --></A><H3>
calculateLogLikelihood</H3>
<PRE>
protected double <B>calculateLogLikelihood</B>(double[][]&nbsp;X,
                                        double[]&nbsp;Y,
                                        <A HREF="../../weka/core/Matrix.html">Matrix</A>&nbsp;jacobian,
                                        double[]&nbsp;deltas)</PRE>
<DL>
<DD>Calculates the log likelihood of the current set of
 coefficients (stored in m_Par), given the data.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>X</CODE> - the instance data<DD><CODE>Y</CODE> - the class values for each instance<DD><CODE>jacobian</CODE> - the matrix which will contain the jacobian matrix after
 the method returns<DD><CODE>deltas</CODE> - an array which will contain the parameter adjustments after
 the method returns<DT><B>Returns:</B><DD>the log likelihood of the data.</DL>
</DD>
</DL>
<HR>

<A NAME="listOptions()"><!-- --></A><H3>
listOptions</H3>
<PRE>
public java.util.Enumeration <B>listOptions</B>()</PRE>
<DL>
<DD>Returns an enumeration describing the available options<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../weka/core/OptionHandler.html#listOptions()">listOptions</A></CODE> in interface <CODE><A HREF="../../weka/core/OptionHandler.html">OptionHandler</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>an enumeration of all the available options</DL>
</DD>
</DL>
<HR>

<A NAME="setOptions(java.lang.String[])"><!-- --></A><H3>
setOptions</H3>
<PRE>
public void <B>setOptions</B>(java.lang.String[]&nbsp;options)
                throws java.lang.Exception</PRE>
<DL>
<DD>Parses a given list of options. Valid options are:<p>

 -D <br>
 Turn on debugging output.<p><DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../weka/core/OptionHandler.html#setOptions(java.lang.String[])">setOptions</A></CODE> in interface <CODE><A HREF="../../weka/core/OptionHandler.html">OptionHandler</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>options</CODE> - the list of options as an array of strings<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if an option is not supported</DL>
</DD>
</DL>
<HR>

<A NAME="getOptions()"><!-- --></A><H3>
getOptions</H3>
<PRE>
public java.lang.String[] <B>getOptions</B>()</PRE>
<DL>
<DD>Gets the current settings of the classifier.<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../weka/core/OptionHandler.html#getOptions()">getOptions</A></CODE> in interface <CODE><A HREF="../../weka/core/OptionHandler.html">OptionHandler</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>an array of strings suitable for passing to setOptions</DL>
</DD>
</DL>
<HR>

<A NAME="setDebug(boolean)"><!-- --></A><H3>
setDebug</H3>
<PRE>
public void <B>setDebug</B>(boolean&nbsp;debug)</PRE>
<DL>
<DD>Sets whether debugging output will be printed.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>debug</CODE> - true if debugging output should be printed</DL>
</DD>
</DL>
<HR>

<A NAME="getDebug()"><!-- --></A><H3>
getDebug</H3>
<PRE>
public boolean <B>getDebug</B>()</PRE>
<DL>
<DD>Gets whether debugging output will be printed.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>true if debugging output will be printed</DL>
</DD>
</DL>
<HR>

<A NAME="buildClassifier(weka.core.Instances)"><!-- --></A><H3>
buildClassifier</H3>
<PRE>
public void <B>buildClassifier</B>(<A HREF="../../weka/core/Instances.html">Instances</A>&nbsp;train)
                     throws java.lang.Exception</PRE>
<DL>
<DD>Builds the classifier<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../weka/classifiers/Classifier.html#buildClassifier(weka.core.Instances)">buildClassifier</A></CODE> in class <CODE><A HREF="../../weka/classifiers/Classifier.html">Classifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - the training data to be used for generating the
 boosted classifier.<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the classifier could not be built successfully</DL>
</DD>
</DL>
<HR>

<A NAME="distributionForInstance(weka.core.Instance)"><!-- --></A><H3>
distributionForInstance</H3>
<PRE>
public double[] <B>distributionForInstance</B>(<A HREF="../../weka/core/Instance.html">Instance</A>&nbsp;instance)
                                 throws java.lang.Exception</PRE>
<DL>
<DD>Computes the distribution for a given instance<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../weka/classifiers/DistributionClassifier.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A></CODE> in class <CODE><A HREF="../../weka/classifiers/DistributionClassifier.html">DistributionClassifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance for which distribution is computed<DT><B>Returns:</B><DD>the distribution<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the distribution can't be computed successfully</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Gets a string describing the classifier.<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 describing the classifer built.</DL>
</DD>
</DL>
<HR>

<A NAME="main(java.lang.String[])"><!-- --></A><H3>
main</H3>
<PRE>
public static void <B>main</B>(java.lang.String[]&nbsp;argv)</PRE>
<DL>
<DD>Main method for testing this class.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>argv</CODE> - should contain the command line arguments to the
 scheme (see Evaluation)</DL>
</DD>
</DL>
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