📄 minnd.html
字号:
The result is as follows, suppose there are P dimensions, and f(X) is the first distribution and g(X) is the second: Kullback = sum[1..P](ln(SIGMA2/SIGMA1)) + sum[1..P](SIGMA1^2 / (2*(SIGMA2^2))) + sum[1..P]((MU1-MU2)^2 / (2*(SIGMA2^2))) - P/2<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>mu1</CODE> - mu of the first normal distribution<DD><CODE>mu2</CODE> - mu of the second normal distribution<DD><CODE>var1</CODE> - variance(SIGMA^2) of the first normal distribution<DD><CODE>var2</CODE> - variance(SIGMA^2) of the second normal distribution<DT><B>Returns:</B><DD>the Kullback distance of two distributions</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/> <!-- options-start --> Valid options are: <p/> <pre> -K <number of neighbours> Set number of nearest neighbour for prediction (default 1)</pre> <pre> -S <number of neighbours> Set number of nearest neighbour for cleansing the training data (default 1)</pre> <pre> -E <number of neighbours> Set number of nearest neighbour for cleansing the testing data (default 1)</pre> <!-- options-end --><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="numNeighboursTipText()"><!-- --></A><H3>numNeighboursTipText</H3><PRE>public java.lang.String <B>numNeighboursTipText</B>()</PRE><DL><DD>Returns the tip text for this property<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>tip text for this property suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="setNumNeighbours(int)"><!-- --></A><H3>setNumNeighbours</H3><PRE>public void <B>setNumNeighbours</B>(int numNeighbour)</PRE><DL><DD>Sets the number of nearest neighbours to estimate the class prediction of tests bags<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>numNeighbour</CODE> - the number of citers</DL></DD></DL><HR><A NAME="getNumNeighbours()"><!-- --></A><H3>getNumNeighbours</H3><PRE>public int <B>getNumNeighbours</B>()</PRE><DL><DD>Returns the number of nearest neighbours to estimate the class prediction of tests bags<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the number of neighbours</DL></DD></DL><HR><A NAME="numTrainingNoisesTipText()"><!-- --></A><H3>numTrainingNoisesTipText</H3><PRE>public java.lang.String <B>numTrainingNoisesTipText</B>()</PRE><DL><DD>Returns the tip text for this property<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>tip text for this property suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="setNumTrainingNoises(int)"><!-- --></A><H3>setNumTrainingNoises</H3><PRE>public void <B>setNumTrainingNoises</B>(int numTraining)</PRE><DL><DD>Sets the number of nearest neighbour instances in the selection of noises in the training data<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>numTraining</CODE> - the number of noises in training data</DL></DD></DL><HR><A NAME="getNumTrainingNoises()"><!-- --></A><H3>getNumTrainingNoises</H3><PRE>public int <B>getNumTrainingNoises</B>()</PRE><DL><DD>Returns the number of nearest neighbour instances in the selection of noises in the training data<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the number of noises in training data</DL></DD></DL><HR><A NAME="numTestingNoisesTipText()"><!-- --></A><H3>numTestingNoisesTipText</H3><PRE>public java.lang.String <B>numTestingNoisesTipText</B>()</PRE><DL><DD>Returns the tip text for this property<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>tip text for this property suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="getNumTestingNoises()"><!-- --></A><H3>getNumTestingNoises</H3><PRE>public int <B>getNumTestingNoises</B>()</PRE><DL><DD>Returns The number of nearest neighbour instances in the selection of noises in the test data<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the number of noises in test data</DL></DD></DL><HR><A NAME="setNumTestingNoises(int)"><!-- --></A><H3>setNumTestingNoises</H3><PRE>public void <B>setNumTestingNoises</B>(int numTesting)</PRE><DL><DD>Sets The number of nearest neighbour exemplars in the selection of noises in the test data<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>numTesting</CODE> - the number of noises in test data</DL></DD></DL><HR><A NAME="getRevision()"><!-- --></A><H3>getRevision</H3><PRE>public java.lang.String <B>getRevision</B>()</PRE><DL><DD>Returns the revision string.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/RevisionHandler.html#getRevision()">getRevision</A></CODE> in interface <CODE><A HREF="../../../weka/core/RevisionHandler.html" title="interface in weka.core">RevisionHandler</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>the revision</DL></DD></DL><HR><A NAME="main(java.lang.String[])"><!-- --></A><H3>main</H3><PRE>public static void <B>main</B>(java.lang.String[] args)</PRE><DL><DD>Main method for testing.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>args</CODE> - the options for the classifier</DL></DD></DL><!-- ========= END OF CLASS DATA ========= --><HR><!-- ======= START OF BOTTOM NAVBAR ====== --><A NAME="navbar_bottom"><!-- --></A><A HREF="#skip-navbar_bottom" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_bottom_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT CLASS="NavBarFont1Rev"><B>Class</B></FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="http://www.cs.waikato.ac.nz/ml/weka/" target="_blank"><FONT CLASS="NavBarFont1"><B>Weka's home</B></FONT></A> </TD> </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../../weka/classifiers/mi/MILR.html" title="class in weka.classifiers.mi"><B>PREV CLASS</B></A> <A HREF="../../../weka/classifiers/mi/MIOptimalBall.html" title="class in weka.classifiers.mi"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../../index.html?weka/classifiers/mi/MINND.html" target="_top"><B>FRAMES</B></A> <A HREF="MINND.html" target="_top"><B>NO FRAMES</B></A> <SCRIPT type="text/javascript"> <!-- if(window==top) { document.writeln('<A HREF="../../../allclasses-noframe.html"><B>All Classes</B></A>'); } //--></SCRIPT><NOSCRIPT> <A HREF="../../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: NESTED | FIELD | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: FIELD | <A HREF="#constructor_detail">CONSTR</A> | <A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><A NAME="skip-navbar_bottom"></A><!-- ======== END OF BOTTOM NAVBAR ======= --><HR></BODY></HTML>
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -