thresholdselector.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

OPTIMIZE_1</H3>
<PRE>
public static final int <B>OPTIMIZE_1</B></PRE>
<DL>
<DD>second class value
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.meta.ThresholdSelector.OPTIMIZE_1">Constant Field Values</A></DL>
</DL>
<HR>

<A NAME="OPTIMIZE_LFREQ"><!-- --></A><H3>
OPTIMIZE_LFREQ</H3>
<PRE>
public static final int <B>OPTIMIZE_LFREQ</B></PRE>
<DL>
<DD>least frequent class value
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.meta.ThresholdSelector.OPTIMIZE_LFREQ">Constant Field Values</A></DL>
</DL>
<HR>

<A NAME="OPTIMIZE_MFREQ"><!-- --></A><H3>
OPTIMIZE_MFREQ</H3>
<PRE>
public static final int <B>OPTIMIZE_MFREQ</B></PRE>
<DL>
<DD>most frequent class value
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.meta.ThresholdSelector.OPTIMIZE_MFREQ">Constant Field Values</A></DL>
</DL>
<HR>

<A NAME="OPTIMIZE_POS_NAME"><!-- --></A><H3>
OPTIMIZE_POS_NAME</H3>
<PRE>
public static final int <B>OPTIMIZE_POS_NAME</B></PRE>
<DL>
<DD>class value name, either 'yes' or 'pos(itive)'
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.meta.ThresholdSelector.OPTIMIZE_POS_NAME">Constant Field Values</A></DL>
</DL>
<HR>

<A NAME="TAGS_OPTIMIZE"><!-- --></A><H3>
TAGS_OPTIMIZE</H3>
<PRE>
public static final <A HREF="../../../weka/core/Tag.html" title="class in weka.core">Tag</A>[] <B>TAGS_OPTIMIZE</B></PRE>
<DL>
<DD>How to determine which class value to optimize for
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="FMEASURE"><!-- --></A><H3>
FMEASURE</H3>
<PRE>
public static final int <B>FMEASURE</B></PRE>
<DL>
<DD>F-measure
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.meta.ThresholdSelector.FMEASURE">Constant Field Values</A></DL>
</DL>
<HR>

<A NAME="ACCURACY"><!-- --></A><H3>
ACCURACY</H3>
<PRE>
public static final int <B>ACCURACY</B></PRE>
<DL>
<DD>accuracy
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.meta.ThresholdSelector.ACCURACY">Constant Field Values</A></DL>
</DL>
<HR>

<A NAME="TRUE_POS"><!-- --></A><H3>
TRUE_POS</H3>
<PRE>
public static final int <B>TRUE_POS</B></PRE>
<DL>
<DD>true-positive
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.meta.ThresholdSelector.TRUE_POS">Constant Field Values</A></DL>
</DL>
<HR>

<A NAME="TRUE_NEG"><!-- --></A><H3>
TRUE_NEG</H3>
<PRE>
public static final int <B>TRUE_NEG</B></PRE>
<DL>
<DD>true-negative
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.meta.ThresholdSelector.TRUE_NEG">Constant Field Values</A></DL>
</DL>
<HR>

<A NAME="TP_RATE"><!-- --></A><H3>
TP_RATE</H3>
<PRE>
public static final int <B>TP_RATE</B></PRE>
<DL>
<DD>true-positive rate
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.meta.ThresholdSelector.TP_RATE">Constant Field Values</A></DL>
</DL>
<HR>

<A NAME="PRECISION"><!-- --></A><H3>
PRECISION</H3>
<PRE>
public static final int <B>PRECISION</B></PRE>
<DL>
<DD>precision
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.meta.ThresholdSelector.PRECISION">Constant Field Values</A></DL>
</DL>
<HR>

<A NAME="RECALL"><!-- --></A><H3>
RECALL</H3>
<PRE>
public static final int <B>RECALL</B></PRE>
<DL>
<DD>recall
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.meta.ThresholdSelector.RECALL">Constant Field Values</A></DL>
</DL>
<HR>

<A NAME="TAGS_MEASURE"><!-- --></A><H3>
TAGS_MEASURE</H3>
<PRE>
public static final <A HREF="../../../weka/core/Tag.html" title="class in weka.core">Tag</A>[] <B>TAGS_MEASURE</B></PRE>
<DL>
<DD>the measure to use
<P>
<DL>
</DL>
</DL>

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

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<TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2">
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<A NAME="ThresholdSelector()"><!-- --></A><H3>
ThresholdSelector</H3>
<PRE>
public <B>ThresholdSelector</B>()</PRE>
<DL>
<DD>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>
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</TABLE>

<A NAME="setMeasure(weka.core.SelectedTag)"><!-- --></A><H3>
setMeasure</H3>
<PRE>
public void <B>setMeasure</B>(<A HREF="../../../weka/core/SelectedTag.html" title="class in weka.core">SelectedTag</A>&nbsp;newMeasure)</PRE>
<DL>
<DD>set measure used for determining threshold
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newMeasure</CODE> - Tag representing measure to be used</DL>
</DD>
</DL>
<HR>

<A NAME="getMeasure()"><!-- --></A><H3>
getMeasure</H3>
<PRE>
public <A HREF="../../../weka/core/SelectedTag.html" title="class in weka.core">SelectedTag</A> <B>getMeasure</B>()</PRE>
<DL>
<DD>get measure used for determining threshold
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>Tag representing measure used</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;integer&gt;
  The class for which threshold is determined. Valid values are:
  1, 2 (for first and second classes, respectively), 3 (for whichever
  class is least frequent), and 4 (for whichever class value is most
  frequent), and 5 (for the first class named any of "yes","pos(itive)"
  "1", or method 3 if no matches). (default 5).</pre>
 
 <pre> -X &lt;number of folds&gt;
  Number of folds used for cross validation. If just a
  hold-out set is used, this determines the size of the hold-out set
  (default 3).</pre>
 
 <pre> -R &lt;integer&gt;
  Sets whether confidence range correction is applied. This
  can be used to ensure the confidences range from 0 to 1.
  Use 0 for no range correction, 1 for correction based on
  the min/max values seen during threshold selection
  (default 0).</pre>
 
 <pre> -E &lt;integer&gt;
  Sets the evaluation mode. Use 0 for
  evaluation using cross-validation,
  1 for evaluation using hold-out set,
  and 2 for evaluation on the
  training data (default 1).</pre>
 
 <pre> -M [FMEASURE|ACCURACY|TRUE_POS|TRUE_NEG|TP_RATE|PRECISION|RECALL]
  Measure used for evaluation (default is FMEASURE).
 </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.Logistic)</pre>
 
 <pre> 
 Options specific to classifier weka.classifiers.functions.Logistic:
 </pre>
 
 <pre> -D
  Turn on debugging output.</pre>
 
 <pre> -R &lt;ridge&gt;
  Set the ridge in the log-likelihood.</pre>
 
 <pre> -M &lt;number&gt;
  Set the maximum number of iterations (default -1, until convergence).</pre>
 
   <!-- options-end -->

 Options after -- are passed to the designated sub-classifier. <p>
<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="getCapabilities()"><!-- --></A><H3>
getCapabilities</H3>
<PRE>
public <A HREF="../../../weka/core/Capabilities.html" title="class in weka.core">Capabilities</A> <B>getCapabilities</B>()</PRE>
<DL>
<DD>Returns default capabilities of the classifier.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/CapabilitiesHandler.html#getCapabilities()">getCapabilities</A></CODE> in interface <CODE><A HREF="../../../weka/core/CapabilitiesHandler.html" title="interface in weka.core">CapabilitiesHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/SingleClassifierEnhancer.html#getCapabilities()">getCapabilities</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>Returns:</B><DD>the capabilities of this classifier<DT><B>See Also:</B><DD><A HREF="../../../weka/core/Capabilities.html" title="class in weka.core"><CODE>Capabilities</CODE></A></DL>
</DD>
</DL>
<HR>

<A NAME="buildClassifier(weka.core.Instances)"><!-- --></A><H3>
buildClassifier</H3>
<PRE>
public void <B>buildClassifier</B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;instances)
                     throws java.lang.Exception</PRE>
<DL>
<DD>Generates 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>instances</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="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)