📄 lmt.html
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</TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/LMT.html#setErrorOnProbabilities(boolean)">setErrorOnProbabilities</A></B>(boolean c)</CODE><BR> Set the value of errorOnProbabilities.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/LMT.html#setFastRegression(boolean)">setFastRegression</A></B>(boolean c)</CODE><BR> Set the value of fastRegression.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/LMT.html#setMinNumInstances(int)">setMinNumInstances</A></B>(int c)</CODE><BR> Set the value of minNumInstances.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/LMT.html#setNumBoostingIterations(int)">setNumBoostingIterations</A></B>(int c)</CODE><BR> Set the value of numBoostingIterations.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/LMT.html#setOptions(java.lang.String[])">setOptions</A></B>(java.lang.String[] options)</CODE><BR> Parses a given list of options.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/LMT.html#setSplitOnResiduals(boolean)">setSplitOnResiduals</A></B>(boolean c)</CODE><BR> Set the value of splitOnResiduals.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/LMT.html#splitOnResidualsTipText()">splitOnResidualsTipText</A></B>()</CODE><BR> Returns the tip text for this property</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/LMT.html#toString()">toString</A></B>()</CODE><BR> Returns a description of the classifier.</TD></TR></TABLE> <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"><TD><B>Methods inherited from class weka.classifiers.<A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></B></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><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#getDebug()">getDebug</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></CODE></TD></TR></TABLE> <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"><TD><B>Methods inherited from class java.lang.Object</B></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>equals, getClass, hashCode, notify, notifyAll, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ============ FIELD DETAIL =========== --><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Constructor Detail</B></FONT></TD></TR></TABLE><A NAME="LMT()"><!-- --></A><H3>LMT</H3><PRE>public <B>LMT</B>()</PRE><DL><DD>Creates an instance of LMT with standard options<P></DL><!-- ============ METHOD DETAIL ========== --><A NAME="method_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Method Detail</B></FONT></TD></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> data) throws java.lang.Exception</PRE><DL><DD>Builds the classifier.<P><DD><DL><DT><B>Specified by:</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" title="class in weka.classifiers">Classifier</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>data</CODE> - set of instances serving as training data<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if classifier can't 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" title="class in weka.core">Instance</A> instance) throws java.lang.Exception</PRE><DL><DD>Returns class probabilities for an instance.<P><DD><DL><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be classified<DT><B>Returns:</B><DD>an array containing the estimated membership probabilities of the test instance in each class or the numeric prediction<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if distribution can't be computed successfully</DL></DD></DL><HR><A NAME="classifyInstance(weka.core.Instance)"><!-- --></A><H3>classifyInstance</H3><PRE>public double <B>classifyInstance</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A> instance) throws java.lang.Exception</PRE><DL><DD>Classifies an instance.<P><DD><DL><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#classifyInstance(weka.core.Instance)">classifyInstance</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be classified<DT><B>Returns:</B><DD>the predicted most likely class for the instance or Instance.missingValue() if no prediction is made<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if instance can't be classified successfully</DL></DD></DL><HR><A NAME="toString()"><!-- --></A><H3>toString</H3><PRE>public java.lang.String <B>toString</B>()</PRE><DL><DD>Returns a description of the classifier.<P><DD><DL></DL></DD><DD><DL></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.<P><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" title="interface in weka.core">OptionHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#listOptions()">listOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</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[] options) throws java.lang.Exception</PRE><DL><DD>Parses a given list of options.<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" title="interface in weka.core">OptionHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#setOptions(java.lang.String[])">setOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</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.<P><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" title="interface in weka.core">OptionHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#getOptions()">getOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</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="getConvertNominal()"><!-- --></A><H3>getConvertNominal</H3><PRE>public boolean <B>getConvertNominal</B>()</PRE><DL><DD>Get the value of convertNominal.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>Value of convertNominal.</DL></DD></DL><HR><A NAME="getSplitOnResiduals()"><!-- --></A><H3>getSplitOnResiduals</H3><PRE>public boolean <B>getSplitOnResiduals</B>()</PRE><DL><DD>Get the value of splitOnResiduals.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>Value of splitOnResiduals.</DL></DD></DL><HR><A NAME="getFastRegression()"><!-- --></A><H3>getFastRegression</H3><PRE>public boolean <B>getFastRegression</B>()</PRE><DL><DD>Get the value of fastRegression.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>Value of fastRegression.</DL></DD></DL><HR><A NAME="getErrorOnProbabilities()"><!-- --></A><H3>getErrorOnProbabilities</H3><PRE>public boolean <B>getErrorOnProbabilities</B>()</PRE><DL><DD>Get the value of errorOnProbabilities.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>Value of errorOnProbabilities.</DL></DD></DL><HR><A NAME="getNumBoostingIterations()"><!-- --></A><H3>getNumBoostingIterations</H3><PRE>public int <B>getNumBoostingIterations</B>()</PRE><DL><DD>Get the value of numBoostingIterations.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>Value of numBoostingIterations.</DL></DD></DL><HR><A NAME="getMinNumInstances()"><!-- --></A><H3>getMinNumInstances</H3><PRE>public int <B>getMinNumInstances</B>()</PRE><DL><DD>Get the value of minNumInstances.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>Value of minNumInstances.</DL></DD></DL><HR><A NAME="setConvertNominal(boolean)"><!-- --></A><H3>setConvertNominal</H3><PRE>public void <B>setConvertNominal</B>(boolean c)</PRE><DL><DD>Set the value of convertNominal.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>c</CODE> - Value to assign to convertNominal.</DL></DD></DL><HR><A NAME="setSplitOnResiduals(boolean)"><!-- --></A><H3>setSplitOnResiduals</H3><PRE>public void <B>setSplitOnResiduals</B>(boolean c)</PRE><DL><DD>Set the value of splitOnResiduals.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>c</CODE> - Value to assign to splitOnResiduals.</DL></DD>⌨️ 快捷键说明
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