ensembleselectionlibrary.html

weka是机器学习和数据挖掘领域最有影响力的开源项目之一

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<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/meta/ensembleSelection/EnsembleSelectionLibrary.html#removeModel(java.lang.String)">removeModel</A></B>(java.lang.String&nbsp;modelKey)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This will remove the model associated with the given String
 from the model libraryHashMap</TD>
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<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/meta/ensembleSelection/EnsembleSelectionLibrary.html#setDebug(boolean)">setDebug</A></B>(boolean&nbsp;debug)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Set debug flag for the library and all its models.</TD>
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<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/meta/ensembleSelection/EnsembleSelectionLibrary.html#setModelListFile(java.lang.String)">setModelListFile</A></B>(java.lang.String&nbsp;modelListFile)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Sets the model list file that holds the list of models
 in the ensemble library.</TD>
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<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/meta/ensembleSelection/EnsembleSelectionLibrary.html#setNumFolds(int)">setNumFolds</A></B>(int&nbsp;numFolds)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Set the number of folds for cross validation.</TD>
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<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/meta/ensembleSelection/EnsembleSelectionLibrary.html#setValidationRatio(double)">setValidationRatio</A></B>(double&nbsp;validationRatio)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Sets the validation-set ratio.</TD>
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<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/meta/ensembleSelection/EnsembleSelectionLibrary.html#setWorkingDirectory(java.io.File)">setWorkingDirectory</A></B>(java.io.File&nbsp;workingDirectory)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Sets the working Directory of the ensemble library.</TD>
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<CODE>&nbsp;<A HREF="../../../../weka/core/Instances.html" title="class in weka.core">Instances</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../weka/classifiers/meta/ensembleSelection/EnsembleSelectionLibrary.html#trainAll(weka.core.Instances, java.lang.String, int)">trainAll</A></B>(<A HREF="../../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;data,
         java.lang.String&nbsp;directory,
         int&nbsp;algorithm)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This method will iterate through the TreeMap of models and
 train all models that do not currently exist (are not 
 yet trained).</TD>
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&nbsp;<A NAME="methods_inherited_from_class_weka.classifiers.EnsembleLibrary"><!-- --></A>
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<TH ALIGN="left"><B>Methods inherited from class weka.classifiers.<A HREF="../../../../weka/classifiers/EnsembleLibrary.html" title="class in weka.classifiers">EnsembleLibrary</A></B></TH>
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<TD><CODE><A HREF="../../../../weka/classifiers/EnsembleLibrary.html#addModel(weka.classifiers.EnsembleLibraryModel)">addModel</A>, <A HREF="../../../../weka/classifiers/EnsembleLibrary.html#addModel(java.lang.String)">addModel</A>, <A HREF="../../../../weka/classifiers/EnsembleLibrary.html#addPropertyChangeListener(java.beans.PropertyChangeListener)">addPropertyChangeListener</A>, <A HREF="../../../../weka/classifiers/EnsembleLibrary.html#clearModels()">clearModels</A>, <A HREF="../../../../weka/classifiers/EnsembleLibrary.html#getModels()">getModels</A>, <A HREF="../../../../weka/classifiers/EnsembleLibrary.html#loadLibrary(java.io.File, weka.classifiers.EnsembleLibrary)">loadLibrary</A>, <A HREF="../../../../weka/classifiers/EnsembleLibrary.html#loadLibrary(java.io.File, javax.swing.JComponent, weka.classifiers.EnsembleLibrary)">loadLibrary</A>, <A HREF="../../../../weka/classifiers/EnsembleLibrary.html#loadLibrary(java.io.InputStream, weka.classifiers.EnsembleLibrary)">loadLibrary</A>, <A HREF="../../../../weka/classifiers/EnsembleLibrary.html#removeModel(weka.classifiers.EnsembleLibraryModel)">removeModel</A>, <A HREF="../../../../weka/classifiers/EnsembleLibrary.html#saveLibrary(java.io.File, weka.classifiers.EnsembleLibrary, javax.swing.JComponent)">saveLibrary</A>, <A HREF="../../../../weka/classifiers/EnsembleLibrary.html#setModels(java.util.TreeSet)">setModels</A>, <A HREF="../../../../weka/classifiers/EnsembleLibrary.html#size()">size</A></CODE></TD>
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&nbsp;<A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
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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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<!-- ============ FIELD DETAIL =========== -->

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<A NAME="m_Debug"><!-- --></A><H3>
m_Debug</H3>
<PRE>
public transient boolean <B>m_Debug</B></PRE>
<DL>
<DD>Whether we should print debug messages.
<P>
<DL>
</DL>
</DL>

<!-- ========= CONSTRUCTOR DETAIL ======== -->

<A NAME="constructor_detail"><!-- --></A>
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<B>Constructor Detail</B></FONT></TH>
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<A NAME="EnsembleSelectionLibrary()"><!-- --></A><H3>
EnsembleSelectionLibrary</H3>
<PRE>
public <B>EnsembleSelectionLibrary</B>()</PRE>
<DL>
<DD>Creates a default libary.  Library should be associated with
<P>
</DL>
<HR>

<A NAME="EnsembleSelectionLibrary(java.lang.String, int, int, double)"><!-- --></A><H3>
EnsembleSelectionLibrary</H3>
<PRE>
public <B>EnsembleSelectionLibrary</B>(java.lang.String&nbsp;dir,
                                int&nbsp;seed,
                                int&nbsp;folds,
                                double&nbsp;validationRatio)</PRE>
<DL>
<DD>Creates a default libary.  Library should be associated with 
 a working directory
<P>
<DL>
<DT><B>Parameters:</B><DD><CODE>dir</CODE> - the working directory form the ensemble library<DD><CODE>seed</CODE> - the seed value<DD><CODE>folds</CODE> - the number of folds<DD><CODE>validationRatio</CODE> - the ratio to use</DL>
</DL>
<HR>

<A NAME="EnsembleSelectionLibrary(java.lang.String)"><!-- --></A><H3>
EnsembleSelectionLibrary</H3>
<PRE>
public <B>EnsembleSelectionLibrary</B>(java.lang.String&nbsp;libraryFileName)</PRE>
<DL>
<DD>This constructor will create a library from a model
 list file given by the file name argument
<P>
<DL>
<DT><B>Parameters:</B><DD><CODE>libraryFileName</CODE> - the library filename</DL>
</DL>
<HR>

<A NAME="EnsembleSelectionLibrary(java.io.InputStream)"><!-- --></A><H3>
EnsembleSelectionLibrary</H3>
<PRE>
public <B>EnsembleSelectionLibrary</B>(java.io.InputStream&nbsp;stream)</PRE>
<DL>
<DD>This constructor will create a library from the given XML stream.
<P>
<DL>
<DT><B>Parameters:</B><DD><CODE>stream</CODE> - the XML library stream</DL>
</DL>

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

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<A NAME="setDebug(boolean)"><!-- --></A><H3>
setDebug</H3>
<PRE>
public void <B>setDebug</B>(boolean&nbsp;debug)</PRE>
<DL>
<DD>Set debug flag for the library and all its models.  The debug flag
 determines whether we print debugging information to stdout.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>debug</CODE> - if true debug mode is on</DL>
</DD>
</DL>
<HR>

<A NAME="setValidationRatio(double)"><!-- --></A><H3>
setValidationRatio</H3>
<PRE>
public void <B>setValidationRatio</B>(double&nbsp;validationRatio)</PRE>
<DL>
<DD>Sets the validation-set ratio.  This is the portion of the
 training set that is set aside for hillclimbing.  Note that
 this value is ignored if we are doing cross-validation
 (indicated by the number of folds being > 1).
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>validationRatio</CODE> - the new ratio</DL>
</DD>
</DL>
<HR>

<A NAME="setNumFolds(int)"><!-- --></A><H3>
setNumFolds</H3>
<PRE>
public void <B>setNumFolds</B>(int&nbsp;numFolds)</PRE>
<DL>
<DD>Set the number of folds for cross validation.  If the number
 of folds is > 1, the validation ratio is ignored.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>numFolds</CODE> - the number of folds to use</DL>
</DD>
</DL>
<HR>

<A NAME="trainAll(weka.core.Instances, java.lang.String, int)"><!-- --></A><H3>
trainAll</H3>
<PRE>
public <A HREF="../../../../weka/core/Instances.html" title="class in weka.core">Instances</A> <B>trainAll</B>(<A HREF="../../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;data,
                          java.lang.String&nbsp;directory,
                          int&nbsp;algorithm)
                   throws java.lang.Exception</PRE>
<DL>
<DD>This method will iterate through the TreeMap of models and
 train all models that do not currently exist (are not 
 yet trained). 
 <p/>
 Returns the data set which should be used for hillclimbing.
 <p/>
 If training a model fails then an error will
 be sent to stdout and that model will be removed from the 
 TreeMap.   FIXME Should we maybe raise an exception instead?
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - the data to work on<DD><CODE>directory</CODE> - the working directory<DD><CODE>algorithm</CODE> - the type of algorithm
<DT><B>Returns:</B><DD>the data that should be used for hillclimbing
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
<HR>

<A NAME="createWorkingDirectory(java.lang.String)"><!-- --></A><H3>
createWorkingDirectory</H3>
<PRE>
public void <B>createWorkingDirectory</B>(java.lang.String&nbsp;dirName)</PRE>
<DL>
<DD>Creates the working directory associated with this library
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>dirName</CODE> - the new directory</DL>
</DD>
</DL>
<HR>

<A NAME="removeModel(java.lang.String)"><!-- --></A><H3>
removeModel</H3>
<PRE>
public void <B>removeModel</B>(java.lang.String&nbsp;modelKey)</PRE>
<DL>
<DD>This will remove the model associated with the given String
 from the model libraryHashMap
<P>