racedincrementallogitboost.html

数据挖掘的最常用工具。由于开源

<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> - the instances to train the classifier with
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
<HR>

<A NAME="updateClassifier(weka.core.Instance)"><!-- --></A><H3>
updateClassifier</H3>
<PRE>
public void <B>updateClassifier</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;instance)
                      throws java.lang.Exception</PRE>
<DL>
<DD>Updates the classifier.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/classifiers/UpdateableClassifier.html#updateClassifier(weka.core.Instance)">updateClassifier</A></CODE> in interface <CODE><A HREF="../../../weka/classifiers/UpdateableClassifier.html" title="interface in weka.classifiers">UpdateableClassifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the next instance in the stream of training data
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if something goes wrong</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>&nbsp;instance)
                                 throws java.lang.Exception</PRE>
<DL>
<DD>Computes class distribution of an instance using the best committee.
<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 get the distribution for
<DT><B>Returns:</B><DD>the distribution
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if anything goes wrong</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/RandomizableSingleClassifierEnhancer.html#listOptions()">listOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/RandomizableSingleClassifierEnhancer.html" title="class in weka.classifiers">RandomizableSingleClassifierEnhancer</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. <p/>

   <!-- options-start -->
 Valid options are: <p/>
 
 <pre> -C &lt;num&gt;
  Minimum size of chunks.
  (default 500)</pre>
 
 <pre> -M &lt;num&gt;
  Maximum size of chunks.
  (default 2000)</pre>
 
 <pre> -V &lt;num&gt;
  Size of validation set.
  (default 1000)</pre>
 
 <pre> -P &lt;pruning type&gt;
  Committee pruning to perform.
  0=none, 1=log likelihood (default)</pre>
 
 <pre> -Q
  Use resampling for boosting.</pre>
 
 <pre> -S &lt;num&gt;
  Random number seed.
  (default 1)</pre>
 
 <pre> -D
  If set, classifier is run in debug mode and
  may output additional info to the console</pre>
 
 <pre> -W
  Full name of base classifier.
  (default: weka.classifiers.trees.DecisionStump)</pre>
 
 <pre> 
 Options specific to classifier weka.classifiers.trees.DecisionStump:
 </pre>
 
 <pre> -D
  If set, classifier is run in debug mode and
  may output additional info to the console</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/RandomizableSingleClassifierEnhancer.html#setOptions(java.lang.String[])">setOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/RandomizableSingleClassifierEnhancer.html" title="class in weka.classifiers">RandomizableSingleClassifierEnhancer</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/RandomizableSingleClassifierEnhancer.html#getOptions()">getOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/RandomizableSingleClassifierEnhancer.html" title="class in weka.classifiers">RandomizableSingleClassifierEnhancer</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="globalInfo()"><!-- --></A><H3>
globalInfo</H3>
<PRE>
public java.lang.String <B>globalInfo</B>()</PRE>
<DL>
<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="setClassifier(weka.classifiers.Classifier)"><!-- --></A><H3>
setClassifier</H3>
<PRE>
public void <B>setClassifier</B>(<A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A>&nbsp;newClassifier)</PRE>
<DL>
<DD>Set the base learner.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/SingleClassifierEnhancer.html#setClassifier(weka.classifiers.Classifier)">setClassifier</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/SingleClassifierEnhancer.html" title="class in weka.classifiers">SingleClassifierEnhancer</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newClassifier</CODE> - the classifier to use.
<DT><B>Throws:</B>
<DD><CODE>java.lang.IllegalArgumentException</CODE> - if base classifier cannot handle numeric 
                                        class</DL>
</DD>
</DL>
<HR>

<A NAME="minChunkSizeTipText()"><!-- --></A><H3>
minChunkSizeTipText</H3>
<PRE>
public java.lang.String <B>minChunkSizeTipText</B>()</PRE>
<DL>
<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="setMinChunkSize(int)"><!-- --></A><H3>
setMinChunkSize</H3>
<PRE>
public void <B>setMinChunkSize</B>(int&nbsp;chunkSize)</PRE>
<DL>
<DD>Set the minimum chunk size
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>chunkSize</CODE> - the minimum chunk size</DL>
</DD>
</DL>
<HR>

<A NAME="getMinChunkSize()"><!-- --></A><H3>
getMinChunkSize</H3>
<PRE>
public int <B>getMinChunkSize</B>()</PRE>
<DL>
<DD>Get the minimum chunk size
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the chunk size</DL>
</DD>
</DL>
<HR>

<A NAME="maxChunkSizeTipText()"><!-- --></A><H3>
maxChunkSizeTipText</H3>
<PRE>
public java.lang.String <B>maxChunkSizeTipText</B>()</PRE>
<DL>
<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="setMaxChunkSize(int)"><!-- --></A><H3>
setMaxChunkSize</H3>
<PRE>
public void <B>setMaxChunkSize</B>(int&nbsp;chunkSize)</PRE>
<DL>
<DD>Set the maximum chunk size
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>chunkSize</CODE> - the maximum chunk size</DL>
</DD>
</DL>
<HR>

<A NAME="getMaxChunkSize()"><!-- --></A><H3>
getMaxChunkSize</H3>
<PRE>
public int <B>getMaxChunkSize</B>()</PRE>
<DL>
<DD>Get the maximum chunk size
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the chunk size</DL>
</DD>
</DL>
<HR>

<A NAME="validationChunkSizeTipText()"><!-- --></A><H3>
validationChunkSizeTipText</H3>
<PRE>
public java.lang.String <B>validationChunkSizeTipText</B>()</PRE>
<DL>
<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="setValidationChunkSize(int)"><!-- --></A><H3>
setValidationChunkSize</H3>
<PRE>
public void <B>setValidationChunkSize</B>(int&nbsp;chunkSize)</PRE>
<DL>
<DD>Set the validation chunk size
<P>