vfi.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

setWeightByConfidence</H3>
<PRE>
public void <B>setWeightByConfidence</B>(boolean&nbsp;c)</PRE>
<DL>
<DD>Set weighting by confidence
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>c</CODE> - true if feature intervals are to be weighted by confidence</DL>
</DD>
</DL>
<HR>

<A NAME="getWeightByConfidence()"><!-- --></A><H3>
getWeightByConfidence</H3>
<PRE>
public boolean <B>getWeightByConfidence</B>()</PRE>
<DL>
<DD>Get whether feature intervals are being weighted by confidence
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>true if weighting by confidence is selected</DL>
</DD>
</DL>
<HR>

<A NAME="biasTipText()"><!-- --></A><H3>
biasTipText</H3>
<PRE>
public java.lang.String <B>biasTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property
<P>
<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="setBias(double)"><!-- --></A><H3>
setBias</H3>
<PRE>
public void <B>setBias</B>(double&nbsp;b)</PRE>
<DL>
<DD>Set the value of the exponential bias towards more confident intervals
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>b</CODE> - the value of the bias parameter</DL>
</DD>
</DL>
<HR>

<A NAME="getBias()"><!-- --></A><H3>
getBias</H3>
<PRE>
public double <B>getBias</B>()</PRE>
<DL>
<DD>Get the value of the bias parameter
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the bias parameter</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 VFI
<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/Classifier.html#getOptions()">getOptions</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>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/Classifier.html#getCapabilities()">getCapabilities</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>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="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Returns a description of this classifier.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE>toString</CODE> in class <CODE>java.lang.Object</CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>a description of this classifier as a string.</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>Classifies the given test instance.
<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 be classified
<DT><B>Returns:</B><DD>the predicted class for the instance
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the instance can't be classified</DL>
</DD>
</DL>
<HR>

<A NAME="main(java.lang.String[])"><!-- --></A><H3>
main</H3>
<PRE>
public static void <B>main</B>(java.lang.String[]&nbsp;args)</PRE>
<DL>
<DD>Main method for testing this class.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>args</CODE> - should contain command line arguments for evaluation
 (see Evaluation).</DL>
</DD>
</DL>
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