lmtnode.html

weka是机器学习和数据挖掘领域最有影响力的开源项目之一

&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the class probabilities for an instance according to the logistic model at the node.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/trees/lmt/LMTNode.html#modelErrors()">modelErrors</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Updates the numIncorrectModel field for all nodes.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;java.lang.String</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/trees/lmt/LMTNode.html#modelsToString()">modelsToString</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns a string describing the logistic regression function at the node.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/trees/lmt/LMTNode.html#numLeaves()">numLeaves</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the number of leaves (normal count).</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/trees/lmt/LMTNode.html#numNodes()">numNodes</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the number of nodes.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/trees/lmt/LMTNode.html#prune(double)">prune</A></B>(double&nbsp;alpha)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Prunes a logistic model tree using the CART pruning scheme, given a 
 cost-complexity parameter alpha.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/trees/lmt/LMTNode.html#prune(double[], double[], weka.core.Instances)">prune</A></B>(double[]&nbsp;alphas,
      double[]&nbsp;errors,
      <A HREF="../../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;test)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Method for performing one fold in the cross-validation of the cost-complexity parameter.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;java.lang.String</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/trees/lmt/LMTNode.html#toString()">toString</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns a description of the logistic model tree (tree structure and logistic models)</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/trees/lmt/LMTNode.html#treeErrors()">treeErrors</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Updates the numIncorrectTree field for all nodes.</TD>
</TR>
</TABLE>
&nbsp;<A NAME="methods_inherited_from_class_weka.classifiers.trees.lmt.LogisticBase"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor">
<TH ALIGN="left"><B>Methods inherited from class weka.classifiers.trees.lmt.<A HREF="../../../../weka/classifiers/trees/lmt/LogisticBase.html" title="class in weka.classifiers.trees.lmt">LogisticBase</A></B></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE><A HREF="../../../../weka/classifiers/trees/lmt/LogisticBase.html#getMaxIterations()">getMaxIterations</A>, <A HREF="../../../../weka/classifiers/trees/lmt/LogisticBase.html#getNumRegressions()">getNumRegressions</A>, <A HREF="../../../../weka/classifiers/trees/lmt/LogisticBase.html#getUseAIC()">getUseAIC</A>, <A HREF="../../../../weka/classifiers/trees/lmt/LogisticBase.html#getUsedAttributes()">getUsedAttributes</A>, <A HREF="../../../../weka/classifiers/trees/lmt/LogisticBase.html#getWeightTrimBeta()">getWeightTrimBeta</A>, <A HREF="../../../../weka/classifiers/trees/lmt/LogisticBase.html#percentAttributesUsed()">percentAttributesUsed</A>, <A HREF="../../../../weka/classifiers/trees/lmt/LogisticBase.html#setHeuristicStop(int)">setHeuristicStop</A>, <A HREF="../../../../weka/classifiers/trees/lmt/LogisticBase.html#setMaxIterations(int)">setMaxIterations</A>, <A HREF="../../../../weka/classifiers/trees/lmt/LogisticBase.html#setUseAIC(boolean)">setUseAIC</A>, <A HREF="../../../../weka/classifiers/trees/lmt/LogisticBase.html#setWeightTrimBeta(double)">setWeightTrimBeta</A></CODE></TD>
</TR>
</TABLE>
&nbsp;<A NAME="methods_inherited_from_class_weka.classifiers.Classifier"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor">
<TH ALIGN="left"><B>Methods inherited from class weka.classifiers.<A HREF="../../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></B></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE><A HREF="../../../../weka/classifiers/Classifier.html#classifyInstance(weka.core.Instance)">classifyInstance</A>, <A HREF="../../../../weka/classifiers/Classifier.html#debugTipText()">debugTipText</A>, <A HREF="../../../../weka/classifiers/Classifier.html#forName(java.lang.String, java.lang.String[])">forName</A>, <A HREF="../../../../weka/classifiers/Classifier.html#getCapabilities()">getCapabilities</A>, <A HREF="../../../../weka/classifiers/Classifier.html#getDebug()">getDebug</A>, <A HREF="../../../../weka/classifiers/Classifier.html#getOptions()">getOptions</A>, <A HREF="../../../../weka/classifiers/Classifier.html#listOptions()">listOptions</A>, <A HREF="../../../../weka/classifiers/Classifier.html#makeCopies(weka.classifiers.Classifier, int)">makeCopies</A>, <A HREF="../../../../weka/classifiers/Classifier.html#makeCopy(weka.classifiers.Classifier)">makeCopy</A>, <A HREF="../../../../weka/classifiers/Classifier.html#setDebug(boolean)">setDebug</A>, <A HREF="../../../../weka/classifiers/Classifier.html#setOptions(java.lang.String[])">setOptions</A></CODE></TD>
</TR>
</TABLE>
&nbsp;<A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor">
<TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE>equals, getClass, hashCode, notify, notifyAll, wait, wait, wait</CODE></TD>
</TR>
</TABLE>
&nbsp;
<P>

<!-- ============ FIELD DETAIL =========== -->

<A NAME="field_detail"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2">
<B>Field Detail</B></FONT></TH>
</TR>
</TABLE>

<A NAME="m_alpha"><!-- --></A><H3>
m_alpha</H3>
<PRE>
public double <B>m_alpha</B></PRE>
<DL>
<DD>Alpha-value (for pruning) at the node
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="m_numIncorrectModel"><!-- --></A><H3>
m_numIncorrectModel</H3>
<PRE>
public double <B>m_numIncorrectModel</B></PRE>
<DL>
<DD>Weighted number of training examples currently misclassified by the logistic model at the node
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="m_numIncorrectTree"><!-- --></A><H3>
m_numIncorrectTree</H3>
<PRE>
public double <B>m_numIncorrectTree</B></PRE>
<DL>
<DD>Weighted number of training examples currently misclassified by the subtree rooted at the node
<P>
<DL>
</DL>
</DL>

<!-- ========= CONSTRUCTOR DETAIL ======== -->

<A NAME="constructor_detail"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2">
<B>Constructor Detail</B></FONT></TH>
</TR>
</TABLE>

<A NAME="LMTNode(weka.classifiers.trees.j48.ModelSelection, int, boolean, boolean, int, double, boolean)"><!-- --></A><H3>
LMTNode</H3>
<PRE>
public <B>LMTNode</B>(<A HREF="../../../../weka/classifiers/trees/j48/ModelSelection.html" title="class in weka.classifiers.trees.j48">ModelSelection</A>&nbsp;modelSelection,
               int&nbsp;numBoostingIterations,
               boolean&nbsp;fastRegression,
               boolean&nbsp;errorOnProbabilities,
               int&nbsp;minNumInstances,
               double&nbsp;weightTrimBeta,
               boolean&nbsp;useAIC)</PRE>
<DL>
<DD>Constructor for logistic model tree node.
<P>
<DL>
<DT><B>Parameters:</B><DD><CODE>modelSelection</CODE> - selection method for local splitting model<DD><CODE>numBoostingIterations</CODE> - sets the numBoostingIterations parameter<DD><CODE>fastRegression</CODE> - sets the fastRegression parameter<DD><CODE>errorOnProbabilities</CODE> - Use error on probabilities for stopping criterion of LogitBoost?<DD><CODE>minNumInstances</CODE> - minimum number of instances at which a node is considered for splitting</DL>
</DL>

<!-- ============ METHOD DETAIL ========== -->

<A NAME="method_detail"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2">
<B>Method Detail</B></FONT></TH>
</TR>
</TABLE>

<A NAME="buildClassifier(weka.core.Instances)"><!-- --></A><H3>
buildClassifier</H3>
<PRE>
public void <B>buildClassifier</B>(<A HREF="../../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;data)
                     throws java.lang.Exception</PRE>
<DL>
<DD>Method for building a logistic model tree (only called for the root node).
 Grows an initial logistic model tree and prunes it back using the CART pruning scheme.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../../weka/classifiers/trees/lmt/LogisticBase.html#buildClassifier(weka.core.Instances)">buildClassifier</A></CODE> in class <CODE><A HREF="../../../../weka/classifiers/trees/lmt/LogisticBase.html" title="class in weka.classifiers.trees.lmt">LogisticBase</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - the data to train with
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
<HR>

<A NAME="buildTree(weka.core.Instances, weka.classifiers.functions.SimpleLinearRegression[][], double, double)"><!-- --></A><H3>
buildTree</H3>
<PRE>
public void <B>buildTree</B>(<A HREF="../../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;data,
                      <A HREF="../../../../weka/classifiers/functions/SimpleLinearRegression.html" title="class in weka.classifiers.functions">SimpleLinearRegression</A>[][]&nbsp;higherRegressions,
                      double&nbsp;totalInstanceWeight,
                      double&nbsp;higherNumParameters)
               throws java.lang.Exception</PRE>
<DL>
<DD>Method for building the tree structure.
 Builds a logistic model, splits the node and recursively builds tree for child nodes.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - the training data passed on to this node<DD><CODE>higherRegressions</CODE> - An array of regression functions produced by LogitBoost at higher 
 levels in the tree. They represent a logistic regression model that is refined locally 
 at this node.<DD><CODE>totalInstanceWeight</CODE> - the total number of training examples<DD><CODE>higherNumParameters</CODE> - effective number of parameters in the logistic regression model built
 in parent nodes
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
<HR>

<A NAME="prune(double)"><!-- --></A><H3>
prune</H3>
<PRE>
public void <B>prune</B>(double&nbsp;alpha)
           throws java.lang.Exception</PRE>
<DL>
<DD>Prunes a logistic model tree using the CART pruning scheme, given a 
 cost-complexity parameter alpha.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>alpha</CODE> - the cost-complexity measure
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
<HR>

<A NAME="prune(double[], double[], weka.core.Instances)"><!-- --></A><H3>
prune</H3>
<PRE>
public int <B>prune</B>(double[]&nbsp;alphas,
                 double[]&nbsp;errors,
                 <A HREF="../../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;test)
          throws java.lang.Exception</PRE>
<DL>
<DD>Method for performing one fold in the cross-validation of the cost-complexity parameter.
 Generates a sequence of alpha-values with error estimates for the corresponding (partially pruned)
 trees, given the test set of that fold.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>alphas</CODE> - array to hold the generated alpha-values<DD><CODE>errors</CODE> - array to hold the corresponding error estimates<DD><CODE>test</CODE> - test set of that fold (to obtain error estimates)
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
<HR>

<A NAME="getNumInnerNodes()"><!-- --></A><H3>
getNumInnerNodes</H3>
<PRE>
public int <B>getNumInnerNodes</B>()</PRE>
<DL>
<DD>Method to count the number of inner nodes in the tree
<P>
<DD><DL>

<DT><B>Returns:</B><DD>the number of inner nodes</DL>
</DD>
</DL>
<HR>

<A NAME="getNumLeaves()"><!-- --></A><H3>
getNumLeaves</H3>
<PRE>
public int <B>getNumLeaves</B>()</PRE>
<DL>
<DD>Returns the number of leaves in the tree.
 Leaves are only counted if their logistic model has changed compared to the one of the parent node.
<P>
<DD><DL>

<DT><B>Returns:</B><DD>the number of leaves</DL>
</DD>
</DL>
<HR>

<A NAME="modelErrors()"><!-- --></A><H3>
modelErrors</H3>
<PRE>
public void <B>modelErrors</B>()
                 throws java.lang.Exception</PRE>
<DL>
<DD>Updates the numIncorrectModel field for all nodes. This is needed for calculating the alpha-values.
<P>
<DD><DL>

<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE></DL>
</DD>
</DL>