classifier.html

数据挖掘的最常用工具。由于开源

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<CODE>&nbsp;java.util.Enumeration</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Classifier.html#listOptions()">listOptions</A></B>()</CODE>

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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns an enumeration describing the available options.</TD>
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<CODE>static&nbsp;<A HREF="../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A>[]</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Classifier.html#makeCopies(weka.classifiers.Classifier, int)">makeCopies</A></B>(<A HREF="../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A>&nbsp;model,
           int&nbsp;num)</CODE>

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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Creates a given number of deep copies of the given classifier using serialization.</TD>
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<CODE>static&nbsp;<A HREF="../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Classifier.html#makeCopy(weka.classifiers.Classifier)">makeCopy</A></B>(<A HREF="../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A>&nbsp;model)</CODE>

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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Creates a deep copy of the given classifier using serialization.</TD>
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<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Classifier.html#setDebug(boolean)">setDebug</A></B>(boolean&nbsp;debug)</CODE>

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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Set debugging mode.</TD>
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<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Classifier.html#setOptions(java.lang.String[])">setOptions</A></B>(java.lang.String[]&nbsp;options)</CODE>

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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Parses a given list of options.</TD>
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<TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH>
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<TD><CODE>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD>
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<TH ALIGN="left"><B>Methods inherited from interface weka.core.<A HREF="../../weka/core/RevisionHandler.html" title="interface in weka.core">RevisionHandler</A></B></TH>
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<TD><CODE><A HREF="../../weka/core/RevisionHandler.html#getRevision()">getRevision</A></CODE></TD>
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<!-- ========= CONSTRUCTOR DETAIL ======== -->

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<B>Constructor Detail</B></FONT></TH>
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<A NAME="Classifier()"><!-- --></A><H3>
Classifier</H3>
<PRE>
public <B>Classifier</B>()</PRE>
<DL>
</DL>

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

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<A NAME="buildClassifier(weka.core.Instances)"><!-- --></A><H3>
buildClassifier</H3>
<PRE>
public abstract 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>Generates a classifier. Must initialize all fields of the classifier
 that are not being set via options (ie. multiple calls of buildClassifier
 must always lead to the same result). Must not change the dataset
 in any way.
<P>
<DD><DL>
</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 the classifier has not been 
 generated 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>&nbsp;instance)
                        throws java.lang.Exception</PRE>
<DL>
<DD>Classifies the given test instance. The instance has to belong to a
 dataset when it's being classified. Note that a classifier MUST
 implement either this or distributionForInstance().
<P>
<DD><DL>
</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 an error occurred during the prediction</DL>
</DD>
</DL>
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<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>&nbsp;instance)
                                 throws java.lang.Exception</PRE>
<DL>
<DD>Predicts the class memberships for a given instance. If
 an instance is unclassified, the returned array elements
 must be all zero. If the class is numeric, the array
 must consist of only one element, which contains the
 predicted value. Note that a classifier MUST implement
 either this or classifyInstance().
<P>
<DD><DL>
</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 could not be 
 computed successfully</DL>
</DD>
</DL>
<HR>

<A NAME="forName(java.lang.String, java.lang.String[])"><!-- --></A><H3>
forName</H3>
<PRE>
public static <A HREF="../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A> <B>forName</B>(java.lang.String&nbsp;classifierName,
                                 java.lang.String[]&nbsp;options)
                          throws java.lang.Exception</PRE>
<DL>
<DD>Creates a new instance of a classifier given it's class name and
 (optional) arguments to pass to it's setOptions method. If the
 classifier implements OptionHandler and the options parameter is
 non-null, the classifier will have it's options set.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>classifierName</CODE> - the fully qualified class name of the classifier<DD><CODE>options</CODE> - an array of options suitable for passing to setOptions. May
 be null.
<DT><B>Returns:</B><DD>the newly created classifier, ready for use.
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the classifier name is invalid, or the options
 supplied are not acceptable to the classifier</DL>
</DD>
</DL>
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<A NAME="makeCopy(weka.classifiers.Classifier)"><!-- --></A><H3>
makeCopy</H3>
<PRE>
public static <A HREF="../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A> <B>makeCopy</B>(<A HREF="../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A>&nbsp;model)
                           throws java.lang.Exception</PRE>
<DL>
<DD>Creates a deep copy of the given classifier using serialization.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>model</CODE> - the classifier to copy
<DT><B>Returns:</B><DD>a deep copy of the classifier
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if an error occurs</DL>
</DD>
</DL>
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