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<BR> Gets the threshold for olsc estimator</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/functions/PaceRegression.html#globalInfo()">globalInfo</A></B>()</CODE><BR> Returns a string describing this classifier</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.util.Enumeration</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/functions/PaceRegression.html#listOptions()">listOptions</A></B>()</CODE><BR> Returns an enumeration describing the available options.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/functions/PaceRegression.html#main(java.lang.String[])">main</A></B>(java.lang.String[] argv)</CODE><BR> Generates a linear regression function predictor.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/functions/PaceRegression.html#numParameters()">numParameters</A></B>()</CODE><BR> Get the number of coefficients used in the model</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/functions/PaceRegression.html#setDebug(boolean)">setDebug</A></B>(boolean debug)</CODE><BR> Controls whether debugging output will be printed</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/functions/PaceRegression.html#setEstimator(weka.core.SelectedTag)">setEstimator</A></B>(<A HREF="../../../weka/core/SelectedTag.html" title="class in weka.core">SelectedTag</A> estimator)</CODE><BR> Sets the estimator.</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/functions/PaceRegression.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/functions/PaceRegression.html#setThreshold(double)">setThreshold</A></B>(double newThreshold)</CODE><BR> Set threshold for the olsc estimator</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/functions/PaceRegression.html#thresholdTipText()">thresholdTipText</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/functions/PaceRegression.html#toString()">toString</A></B>()</CODE><BR> Outputs the linear regression model as a string.</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#distributionForInstance(weka.core.Instance)">distributionForInstance</A>, <A HREF="../../../weka/classifiers/Classifier.html#forName(java.lang.String, java.lang.String[])">forName</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></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 =========== --><A NAME="field_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Field Detail</B></FONT></TD></TR></TABLE><A NAME="TAGS_ESTIMATOR"><!-- --></A><H3>TAGS_ESTIMATOR</H3><PRE>public static final <A HREF="../../../weka/core/Tag.html" title="class in weka.core">Tag</A>[] <B>TAGS_ESTIMATOR</B></PRE><DL><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"><TD COLSPAN=1><FONT SIZE="+2"><B>Constructor Detail</B></FONT></TD></TR></TABLE><A NAME="PaceRegression()"><!-- --></A><H3>PaceRegression</H3><PRE>public <B>PaceRegression</B>()</PRE><DL></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="globalInfo()"><!-- --></A><H3>globalInfo</H3><PRE>public java.lang.String <B>globalInfo</B>()</PRE><DL><DD>Returns a string describing this classifier<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a description of the classifier suitable for displaying in the explorer/experimenter gui</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" title="class in weka.core">Instances</A> data) throws java.lang.Exception</PRE><DL><DD>Builds a pace regression model for the given data.<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> - the training data to be used for generating the linear regression function<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the classifier could not be built successfully</DL></DD></DL><HR><A NAME="checkForMissing(weka.core.Instances)"><!-- --></A><H3>checkForMissing</H3><PRE>public boolean <B>checkForMissing</B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> data)</PRE><DL><DD>Checks if instances have a missing value.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>data</CODE> - the data set<DT><B>Returns:</B><DD>true if missing value is present in data set</DL></DD></DL><HR><A NAME="checkForMissing(weka.core.Instance, weka.core.Instances)"><!-- --></A><H3>checkForMissing</H3><PRE>public boolean <B>checkForMissing</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A> instance, <A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> model)</PRE><DL><DD>Checks if an instance has a missing value.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance<DT><B>Returns:</B><DD>true if missing value is present</DL></DD></DL><HR><A NAME="checkForNonBinary(weka.core.Instances)"><!-- --></A><H3>checkForNonBinary</H3><PRE>public boolean <B>checkForNonBinary</B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> data)</PRE><DL><DD>Checks if any of the nominal attributes is non-binary.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>data</CODE> - the data set<DT><B>Returns:</B><DD>true if non binary attribute is present</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 the given instance using the linear regression function.<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 test instance<DT><B>Returns:</B><DD>the classification<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if classification can't be done successfully</DL></DD></DL><HR><A NAME="toString()"><!-- --></A><H3>toString</H3><PRE>public java.lang.String <B>toString</B>()</PRE><DL><DD>Outputs the linear regression model as a string.<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>⌨️ 快捷键说明
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