gridsearch.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

</DL>
<HR>

<A NAME="TAGS_TRAVERSAL"><!-- --></A><H3>
TAGS_TRAVERSAL</H3>
<PRE>
public static final <A HREF="../../../weka/core/Tag.html" title="class in weka.core">Tag</A>[] <B>TAGS_TRAVERSAL</B></PRE>
<DL>
<DD>traversal
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="PREFIX_CLASSIFIER"><!-- --></A><H3>
PREFIX_CLASSIFIER</H3>
<PRE>
public static final java.lang.String <B>PREFIX_CLASSIFIER</B></PRE>
<DL>
<DD>the prefix to indicate that the option is for the classifier
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.meta.GridSearch.PREFIX_CLASSIFIER">Constant Field Values</A></DL>
</DL>
<HR>

<A NAME="PREFIX_FILTER"><!-- --></A><H3>
PREFIX_FILTER</H3>
<PRE>
public static final java.lang.String <B>PREFIX_FILTER</B></PRE>
<DL>
<DD>the prefix to indicate that the option is for the filter
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.meta.GridSearch.PREFIX_FILTER">Constant Field Values</A></DL>
</DL>

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

<A NAME="constructor_detail"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2">
<B>Constructor Detail</B></FONT></TH>
</TR>
</TABLE>

<A NAME="GridSearch()"><!-- --></A><H3>
GridSearch</H3>
<PRE>
public <B>GridSearch</B>()</PRE>
<DL>
<DD>the default constructor
<P>
</DL>

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

<A NAME="method_detail"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2">
<B>Method Detail</B></FONT></TH>
</TR>
</TABLE>

<A NAME="globalInfo()"><!-- --></A><H3>
globalInfo</H3>
<PRE>
public java.lang.String <B>globalInfo</B>()</PRE>
<DL>
<DD>Returns a string describing classifier
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>a description suitable for displaying in the
         explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="listOptions()"><!-- --></A><H3>
listOptions</H3>
<PRE>
public java.util.Enumeration <B>listOptions</B>()</PRE>
<DL>
<DD>Gets 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="getOptions()"><!-- --></A><H3>
getOptions</H3>
<PRE>
public java.lang.String[] <B>getOptions</B>()</PRE>
<DL>
<DD>returns the options of the current setup
<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>the current 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 the options for this object. <p/>

   <!-- options-start -->
 Valid options are: <p/>
 
 <pre> -E &lt;CC|RMSE|RRSE|MAE|RAE|COMB|ACC&gt;
  Determines the parameter used for evaluation:
  CC = Correlation coefficient
  RMSE = Root mean squared error
  RRSE = Root relative squared error
  MAE = Mean absolute error
  RAE = Root absolute error
  COMB = Combined = (1-abs(CC)) + RRSE + RAE
  ACC = Accuracy
  (default: CC)</pre>
 
 <pre> -y-property &lt;option&gt;
  The Y option to test (without leading dash).
  (default: classifier.ridge)</pre>
 
 <pre> -y-min &lt;num&gt;
  The minimum for Y.
  (default: -10)</pre>
 
 <pre> -y-max &lt;num&gt;
  The maximum for Y.
  (default: +5)</pre>
 
 <pre> -y-step &lt;num&gt;
  The step size for Y.
  (default: 1)</pre>
 
 <pre> -y-base &lt;num&gt;
  The base for Y.
  (default: 10)</pre>
 
 <pre> -y-expression &lt;expr&gt;
  The expression for Y.
  Available parameters:
   BASE
   FROM
   TO
   STEP
   I - the current iteration value
   (from 'FROM' to 'TO' with stepsize 'STEP')
  (default: 'pow(BASE,I)')</pre>
 
 <pre> -filter &lt;filter specification&gt;
  The filter to use (on X axis). Full classname of filter to include, 
  followed by scheme options.
  (default: weka.filters.supervised.attribute.PLSFilter)</pre>
 
 <pre> -x-property &lt;option&gt;
  The X option to test (without leading dash).
  (default: filter.numComponents)</pre>
 
 <pre> -x-min &lt;num&gt;
  The minimum for X.
  (default: +5)</pre>
 
 <pre> -x-max &lt;num&gt;
  The maximum for X.
  (default: +20)</pre>
 
 <pre> -x-step &lt;num&gt;
  The step size for X.
  (default: 1)</pre>
 
 <pre> -x-base &lt;num&gt;
  The base for X.
  (default: 10)</pre>
 
 <pre> -x-expression &lt;expr&gt;
  The expression for the X value.
  Available parameters:
   BASE
   MIN
   MAX
   STEP
   I - the current iteration value
   (from 'FROM' to 'TO' with stepsize 'STEP')
  (default: 'pow(BASE,I)')</pre>
 
 <pre> -extend-grid
  Whether the grid can be extended.
  (default: no)</pre>
 
 <pre> -max-grid-extensions &lt;num&gt;
  The maximum number of grid extensions (-1 is unlimited).
  (default: 3)</pre>
 
 <pre> -sample-size &lt;num&gt;
  The size (in percent) of the sample to search the inital grid with.
  (default: 100)</pre>
 
 <pre> -traversal &lt;ROW-WISE|COLUMN-WISE&gt;
  The type of traversal for the grid.
  (default: COLUMN-WISE)</pre>
 
 <pre> -log-file &lt;filename&gt;
  The log file to log the messages to.
  (default: none)</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.functions.LinearRegression)</pre>
 
 <pre> 
 Options specific to classifier weka.classifiers.functions.LinearRegression:
 </pre>
 
 <pre> -D
  Produce debugging output.
  (default no debugging output)</pre>
 
 <pre> -S &lt;number of selection method&gt;
  Set the attribute selection method to use. 1 = None, 2 = Greedy.
  (default 0 = M5' method)</pre>
 
 <pre> -C
  Do not try to eliminate colinear attributes.
 </pre>
 
 <pre> -R &lt;double&gt;
  Set ridge parameter (default 1.0e-8).
 </pre>
 
 <pre> 
 Options specific to filter weka.filters.supervised.attribute.PLSFilter ('-filter'):
 </pre>
 
 <pre> -D
  Turns on output of debugging information.</pre>
 
 <pre> -C &lt;num&gt;
  The number of components to compute.
  (default: 20)</pre>
 
 <pre> -U
  Updates the class attribute as well.
  (default: off)</pre>
 
 <pre> -M
  Turns replacing of missing values on.
  (default: off)</pre>
 
 <pre> -A &lt;SIMPLS|PLS1&gt;
  The algorithm to use.
  (default: PLS1)</pre>
 
 <pre> -P &lt;none|center|standardize&gt;
  The type of preprocessing that is applied to the data.
  (default: center)</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 options to use
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if setting of options fails</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