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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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<A NAME="SVMTYPE_C_SVC"><!-- --></A><H3>
SVMTYPE_C_SVC</H3>
<PRE>
public static final int <B>SVMTYPE_C_SVC</B></PRE>
<DL>
<DD>SVM type C-SVC (classification)
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<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.functions.LibSVM.SVMTYPE_C_SVC">Constant Field Values</A></DL>
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<A NAME="SVMTYPE_NU_SVC"><!-- --></A><H3>
SVMTYPE_NU_SVC</H3>
<PRE>
public static final int <B>SVMTYPE_NU_SVC</B></PRE>
<DL>
<DD>SVM type nu-SVC (classification)
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.functions.LibSVM.SVMTYPE_NU_SVC">Constant Field Values</A></DL>
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<A NAME="SVMTYPE_ONE_CLASS_SVM"><!-- --></A><H3>
SVMTYPE_ONE_CLASS_SVM</H3>
<PRE>
public static final int <B>SVMTYPE_ONE_CLASS_SVM</B></PRE>
<DL>
<DD>SVM type one-class SVM (classification)
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<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.functions.LibSVM.SVMTYPE_ONE_CLASS_SVM">Constant Field Values</A></DL>
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<A NAME="SVMTYPE_EPSILON_SVR"><!-- --></A><H3>
SVMTYPE_EPSILON_SVR</H3>
<PRE>
public static final int <B>SVMTYPE_EPSILON_SVR</B></PRE>
<DL>
<DD>SVM type epsilon-SVR (regression)
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<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.functions.LibSVM.SVMTYPE_EPSILON_SVR">Constant Field Values</A></DL>
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<A NAME="SVMTYPE_NU_SVR"><!-- --></A><H3>
SVMTYPE_NU_SVR</H3>
<PRE>
public static final int <B>SVMTYPE_NU_SVR</B></PRE>
<DL>
<DD>SVM type nu-SVR (regression)
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<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.functions.LibSVM.SVMTYPE_NU_SVR">Constant Field Values</A></DL>
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<A NAME="TAGS_SVMTYPE"><!-- --></A><H3>
TAGS_SVMTYPE</H3>
<PRE>
public static final <A HREF="../../../weka/core/Tag.html" title="class in weka.core">Tag</A>[] <B>TAGS_SVMTYPE</B></PRE>
<DL>
<DD>SVM types
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<DL>
</DL>
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<A NAME="KERNELTYPE_LINEAR"><!-- --></A><H3>
KERNELTYPE_LINEAR</H3>
<PRE>
public static final int <B>KERNELTYPE_LINEAR</B></PRE>
<DL>
<DD>kernel type linear: u'*v
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<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.functions.LibSVM.KERNELTYPE_LINEAR">Constant Field Values</A></DL>
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<A NAME="KERNELTYPE_POLYNOMIAL"><!-- --></A><H3>
KERNELTYPE_POLYNOMIAL</H3>
<PRE>
public static final int <B>KERNELTYPE_POLYNOMIAL</B></PRE>
<DL>
<DD>kernel type polynomial: (gamma*u'*v + coef0)^degree
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.functions.LibSVM.KERNELTYPE_POLYNOMIAL">Constant Field Values</A></DL>
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<A NAME="KERNELTYPE_RBF"><!-- --></A><H3>
KERNELTYPE_RBF</H3>
<PRE>
public static final int <B>KERNELTYPE_RBF</B></PRE>
<DL>
<DD>kernel type radial basis function: exp(-gamma*|u-v|^2)
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.functions.LibSVM.KERNELTYPE_RBF">Constant Field Values</A></DL>
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<A NAME="KERNELTYPE_SIGMOID"><!-- --></A><H3>
KERNELTYPE_SIGMOID</H3>
<PRE>
public static final int <B>KERNELTYPE_SIGMOID</B></PRE>
<DL>
<DD>kernel type sigmoid: tanh(gamma*u'*v + coef0)
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.functions.LibSVM.KERNELTYPE_SIGMOID">Constant Field Values</A></DL>
</DL>
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<A NAME="TAGS_KERNELTYPE"><!-- --></A><H3>
TAGS_KERNELTYPE</H3>
<PRE>
public static final <A HREF="../../../weka/core/Tag.html" title="class in weka.core">Tag</A>[] <B>TAGS_KERNELTYPE</B></PRE>
<DL>
<DD>the different kernel types
<P>
<DL>
</DL>
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<!-- ========= CONSTRUCTOR DETAIL ======== -->

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<A NAME="LibSVM()"><!-- --></A><H3>
LibSVM</H3>
<PRE>
public <B>LibSVM</B>()</PRE>
<DL>
</DL>

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<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="getTechnicalInformation()"><!-- --></A><H3>
getTechnicalInformation</H3>
<PRE>
public <A HREF="../../../weka/core/TechnicalInformation.html" title="class in weka.core">TechnicalInformation</A> <B>getTechnicalInformation</B>()</PRE>
<DL>
<DD>Returns an instance of a TechnicalInformation object, containing 
 detailed information about the technical background of this class,
 e.g., paper reference or book this class is based on.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/TechnicalInformationHandler.html#getTechnicalInformation()">getTechnicalInformation</A></CODE> in interface <CODE><A HREF="../../../weka/core/TechnicalInformationHandler.html" title="interface in weka.core">TechnicalInformationHandler</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the technical information about this class</DL>
</DD>
</DL>
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<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/Classifier.html#listOptions()">listOptions</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 enumeration of all the available options.</DL>
</DD>
</DL>
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<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>Sets the classifier options <p/>
 
   <!-- options-start -->
 Valid options are: <p/>
 
 <pre> -S &lt;int&gt;
  Set type of SVM (default: 0)
    0 = C-SVC
    1 = nu-SVC
    2 = one-class SVM
    3 = epsilon-SVR
    4 = nu-SVR</pre>
 
 <pre> -K &lt;int&gt;
  Set type of kernel function (default: 2)
    0 = linear: u'*v
    1 = polynomial: (gamma*u'*v + coef0)^degree
    2 = radial basis function: exp(-gamma*|u-v|^2)
    3 = sigmoid: tanh(gamma*u'*v + coef0)</pre>
 
 <pre> -D &lt;int&gt;
  Set degree in kernel function (default: 3)</pre>
 
 <pre> -G &lt;double&gt;
  Set gamma in kernel function (default: 1/k)</pre>
 
 <pre> -R &lt;double&gt;
  Set coef0 in kernel function (default: 0)</pre>
 
 <pre> -C &lt;double&gt;
  Set the parameter C of C-SVC, epsilon-SVR, and nu-SVR
   (default: 1)</pre>
 
 <pre> -N &lt;double&gt;
  Set the parameter nu of nu-SVC, one-class SVM, and nu-SVR
   (default: 0.5)</pre>
 
 <pre> -Z
  Turns on normalization of input data (default: off)</pre>
 
 <pre> -P &lt;double&gt;
  Set the epsilon in loss function of epsilon-SVR (default: 0.1)</pre>
 
 <pre> -M &lt;double&gt;
  Set cache memory size in MB (default: 40)</pre>
 
 <pre> -E &lt;double&gt;
  Set tolerance of termination criterion (default: 0.001)</pre>
 
 <pre> -H
  Turns the shrinking heuristics off (default: on)</pre>
 
 <pre> -W &lt;double&gt;
  Set the parameters C of class i to weight[i]*C, for C-SVC
   (default: 1)</pre>
 
 <pre> -B
  Trains a SVC model instead of a SVR one (default: SVR)</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/Classifier.html#setOptions(java.lang.String[])">setOptions</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>options</CODE> - the options to parse
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if parsing fails</DL>
</DD>
</DL>
<HR>

<A NAME="getOptions()"><!-- --></A><H3>
getOptions</H3>
<PRE>
public java.lang.String[] <B>getOptions</B>()</PRE>
<DL>
<DD>Returns the current options
<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>the current setup</DL>
</DD>
</DL>
<HR>

<A NAME="isPresent()"><!-- --></A><H3>
isPresent</H3>
<PRE>
public static boolean <B>isPresent</B>()</PRE>
<DL>
<DD>returns whether the libsvm classes are present or not, i.e. whether the 
 classes are in the classpath or not
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>whether the libsvm classes are available</DL>
</DD>
</DL>
<HR>

<A NAME="setSVMType(weka.core.SelectedTag)"><!-- --></A><H3>
setSVMType</H3>
<PRE>
public void <B>setSVMType</B>(<A HREF="../../../weka/core/SelectedTag.html" title="class in weka.core">SelectedTag</A>&nbsp;value)</PRE>
<DL>
<DD>Sets type of SVM (default SVMTYPE_C_SVC)
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>value</CODE> - the type of the SVM</DL>
</DD>
</DL>
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<A NAME="getSVMType()"><!-- --></A><H3>
getSVMType</H3>
<PRE>
public <A HREF="../../../weka/core/SelectedTag.html" title="class in weka.core">SelectedTag</A> <B>getSVMType</B>()</PRE>
<DL>
<DD>Gets type of SVM
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the type of the SVM</DL>
</DD>
</DL>
<HR>

<A NAME="SVMTypeTipText()"><!-- --></A><H3>
SVMTypeTipText</H3>
<PRE>
public java.lang.String <B>SVMTypeTipText</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>