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📁 < 数据挖掘--实用机器学习技术及java实现> 一书结合数据挖掘和机器学习的知识,作者陈述了自动挖掘模式的基础理论,并且以java语言实现了具有代表性的各类数据挖掘方法.例如:class
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<B>Field Detail</B></FONT></TD></TR></TABLE><A NAME="TAGS_SELECTION"><!-- --></A><H3>TAGS_SELECTION</H3><PRE>public static final <A HREF="../../weka/core/Tag.html">Tag</A>[] <B>TAGS_SELECTION</B></PRE><DL></DL><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_detail"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Constructor Detail</B></FONT></TD></TR></TABLE><A NAME="LinearRegression()"><!-- --></A><H3>LinearRegression</H3><PRE>public <B>LinearRegression</B>()</PRE><DL></DL><!-- ============ METHOD DETAIL ========== --><A NAME="method_detail"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><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">Instances</A>&nbsp;data)                     throws java.lang.Exception</PRE><DL><DD>Builds a regression model for the given data.<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 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="classifyInstance(weka.core.Instance)"><!-- --></A><H3>classifyInstance</H3><PRE>public double <B>classifyInstance</B>(<A HREF="../../weka/core/Instance.html">Instance</A>&nbsp;instance)                        throws java.lang.Exception</PRE><DL><DD>Classifies the given instance using the linear regression function.<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">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.<DD><DL><DT><B>Overrides:</B><DD><CODE>toString</CODE> in class <CODE>java.lang.Object</CODE></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> Produce debugging output. <p> -S num <br> Set the attriute selection method to use. 1 = None, 2 = Greedy (default 0 = M5' method) <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="numParameters()"><!-- --></A><H3>numParameters</H3><PRE>public int <B>numParameters</B>()</PRE><DL><DD>Get the number of coefficients used in the model<DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the number of coefficients</DL></DD></DL><HR><A NAME="setAttributeSelectionMethod(weka.core.SelectedTag)"><!-- --></A><H3>setAttributeSelectionMethod</H3><PRE>public void <B>setAttributeSelectionMethod</B>(<A HREF="../../weka/core/SelectedTag.html">SelectedTag</A>&nbsp;method)</PRE><DL><DD>Sets the method used to select attributes for use in the linear regression.<DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>method</CODE> - the attribute selection method to use.</DL></DD></DL><HR><A NAME="getAttributeSelectionMethod()"><!-- --></A><H3>getAttributeSelectionMethod</H3><PRE>public <A HREF="../../weka/core/SelectedTag.html">SelectedTag</A> <B>getAttributeSelectionMethod</B>()</PRE><DL><DD>Gets the method used to select attributes for use in the linear regression.<DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the method to use.</DL></DD></DL><HR><A NAME="setDebug(boolean)"><!-- --></A><H3>setDebug</H3><PRE>public void <B>setDebug</B>(boolean&nbsp;debug)</PRE><DL><DD>Controls 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>Controls 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="main(java.lang.String[])"><!-- --></A><H3>main</H3><PRE>public static void <B>main</B>(java.lang.String[]&nbsp;argv)</PRE><DL><DD>Generates a linear regression function predictor.<DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>String</CODE> - the options</DL></DD></DL><!-- ========= END OF CLASS DATA ========= --><HR><!-- ========== START OF NAVBAR ========== --><A NAME="navbar_bottom"><!-- --></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0"><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_bottom_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3">  <TR ALIGN="center" VALIGN="top">  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> &nbsp;<FONT CLASS="NavBarFont1Rev"><B>Class</B></FONT>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A>&nbsp;</TD>  </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2">&nbsp;<A HREF="../../weka/classifiers/KernelDensity.html"><B>PREV CLASS</B></A>&nbsp;&nbsp;<A HREF="../../weka/classifiers/Logistic.html"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2">  <A HREF="../../index.html" TARGET="_top"><B>FRAMES</B></A>  &nbsp;&nbsp;<A HREF="LinearRegression.html" TARGET="_top"><B>NO FRAMES</B></A></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">  SUMMARY: &nbsp;INNER&nbsp;|&nbsp;<A HREF="#field_summary">FIELD</A>&nbsp;|&nbsp;<A HREF="#constructor_summary">CONSTR</A>&nbsp;|&nbsp;<A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: &nbsp;<A HREF="#field_detail">FIELD</A>&nbsp;|&nbsp;<A HREF="#constructor_detail">CONSTR</A>&nbsp;|&nbsp;<A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><!-- =========== END OF NAVBAR =========== --><HR></BODY></HTML>

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