smo.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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<A NAME="getCapabilities()"><!-- --></A><H3>
getCapabilities</H3>
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public <A HREF="../../../weka/core/Capabilities.html" title="class in weka.core">Capabilities</A> <B>getCapabilities</B>()</PRE>
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<DD>Returns default capabilities of the classifier.
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<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>
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<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>
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<A NAME="buildClassifier(weka.core.Instances)"><!-- --></A><H3>
buildClassifier</H3>
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public void <B>buildClassifier</B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;insts)
                     throws java.lang.Exception</PRE>
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<DD>Method for building the classifier. Implements a one-against-one
 wrapper for multi-class problems.
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<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>
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<DT><B>Parameters:</B><DD><CODE>insts</CODE> - the set of training instances
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the classifier can't be built successfully</DL>
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<A NAME="distributionForInstance(weka.core.Instance)"><!-- --></A><H3>
distributionForInstance</H3>
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public double[] <B>distributionForInstance</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;inst)
                                 throws java.lang.Exception</PRE>
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<DD>Estimates class probabilities for given instance.
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<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>
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<DT><B>Parameters:</B><DD><CODE>inst</CODE> - the instance to compute the probabilities for
<DT><B>Returns:</B><DD>an array containing the estimated membership 
 probabilities of the test instance in each class 
 or the numeric prediction
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - in case of an error</DL>
</DD>
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<A NAME="pairwiseCoupling(double[][], double[][])"><!-- --></A><H3>
pairwiseCoupling</H3>
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public double[] <B>pairwiseCoupling</B>(double[][]&nbsp;n,
                                 double[][]&nbsp;r)</PRE>
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<DD>Implements pairwise coupling.
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<DT><B>Parameters:</B><DD><CODE>n</CODE> - the sum of weights used to train each model<DD><CODE>r</CODE> - the probability estimate from each model
<DT><B>Returns:</B><DD>the coupled estimates</DL>
</DD>
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<A NAME="obtainVotes(weka.core.Instance)"><!-- --></A><H3>
obtainVotes</H3>
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public int[] <B>obtainVotes</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;inst)
                  throws java.lang.Exception</PRE>
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<DD>Returns an array of votes for the given instance.
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<DT><B>Parameters:</B><DD><CODE>inst</CODE> - the instance
<DT><B>Returns:</B><DD>array of votex
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
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<A NAME="sparseWeights()"><!-- --></A><H3>
sparseWeights</H3>
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public double[][][] <B>sparseWeights</B>()</PRE>
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<DD>Returns the weights in sparse format.
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<A NAME="sparseIndices()"><!-- --></A><H3>
sparseIndices</H3>
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public int[][][] <B>sparseIndices</B>()</PRE>
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<DD>Returns the indices in sparse format.
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<A NAME="bias()"><!-- --></A><H3>
bias</H3>
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public double[][] <B>bias</B>()</PRE>
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<DD>Returns the bias of each binary SMO.
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<A NAME="numClassAttributeValues()"><!-- --></A><H3>
numClassAttributeValues</H3>
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public int <B>numClassAttributeValues</B>()</PRE>
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<A NAME="classAttributeNames()"><!-- --></A><H3>
classAttributeNames</H3>
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public java.lang.String[] <B>classAttributeNames</B>()</PRE>
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<A NAME="attributeNames()"><!-- --></A><H3>
attributeNames</H3>
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public java.lang.String[][][] <B>attributeNames</B>()</PRE>
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<DD>Returns the attribute names.
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<A NAME="listOptions()"><!-- --></A><H3>
listOptions</H3>
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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>
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<DT><B>Returns:</B><DD>an enumeration of all the available options.</DL>
</DD>
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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>Parses a given list of options. <p/>

   <!-- options-start -->
 Valid options are: <p/>
 
 <pre> -D
  If set, classifier is run in debug mode and
  may output additional info to the console</pre>
 
 <pre> -no-checks
  Turns off all checks - use with caution!
  Turning them off assumes that data is purely numeric, doesn't
  contain any missing values, and has a nominal class. Turning them
  off also means that no header information will be stored if the
  machine is linear. Finally, it also assumes that no instance has
  a weight equal to 0.
  (default: checks on)</pre>
 
 <pre> -C &lt;double&gt;
  The complexity constant C. (default 1)</pre>
 
 <pre> -N
  Whether to 0=normalize/1=standardize/2=neither. (default 0=normalize)</pre>
 
 <pre> -L &lt;double&gt;
  The tolerance parameter. (default 1.0e-3)</pre>
 
 <pre> -P &lt;double&gt;
  The epsilon for round-off error. (default 1.0e-12)</pre>
 
 <pre> -M
  Fit logistic models to SVM outputs. </pre>
 
 <pre> -V &lt;double&gt;
  The number of folds for the internal
  cross-validation. (default -1, use training data)</pre>
 
 <pre> -W &lt;double&gt;
  The random number seed. (default 1)</pre>
 
 <pre> -K &lt;classname and parameters&gt;
  The Kernel to use.
  (default: weka.classifiers.functions.supportVector.PolyKernel)</pre>
 
 <pre> 
 Options specific to kernel weka.classifiers.functions.supportVector.PolyKernel:
 </pre>
 
 <pre> -D
  Enables debugging output (if available) to be printed.
  (default: off)</pre>
 
 <pre> -no-checks
  Turns off all checks - use with caution!
  (default: checks on)</pre>
 
 <pre> -C &lt;num&gt;
  The size of the cache (a prime number).
  (default: 250007)</pre>
 
 <pre> -E &lt;num&gt;
  The Exponent to use.
  (default: 1.0)</pre>
 
 <pre> -L
  Use lower-order terms.
  (default: no)</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>
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<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>
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<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/Classifier.html#getOptions()">getOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL>
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<DT><B>Returns:</B><DD>an array of strings suitable for passing to setOptions</DL>
</DD>
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<A NAME="setChecksTurnedOff(boolean)"><!-- --></A><H3>
setChecksTurnedOff</H3>
<PRE>
public void <B>setChecksTurnedOff</B>(boolean&nbsp;value)</PRE>
<DL>
<DD>Disables or enables the checks (which could be time-consuming). Use with
 caution!
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>value</CODE> - if true turns off all checks</DL>
</DD>
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<A NAME="getChecksTurnedOff()"><!-- --></A><H3>
getChecksTurnedOff</H3>
<PRE>
public boolean <B>getChecksTurnedOff</B>()</PRE>
<DL>
<DD>Returns whether the checks are turned off or not.
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</DD>
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<DT><B>Returns:</B><DD>true if the checks are turned off</DL>
</DD>
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<A NAME="checksTurnedOffTipText()"><!-- --></A><H3>
checksTurnedOffTipText</H3>
<PRE>
public java.lang.String <B>checksTurnedOffTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property
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<DT><B>Returns:</B><DD>tip text for this property suitable for
                        displaying in the explorer/experimenter gui</DL>
</DD>
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<A NAME="kernelTipText()"><!-- --></A><H3>
kernelTipText</H3>
<PRE>
public java.lang.String <B>kernelTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property
<P>
<DD><DL>
</DL>
</DD>
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<DT><B>Returns:</B><DD>tip text for this property suitable for
                        displaying in the explorer/experimenter gui</DL>
</DD>
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<A NAME="setKernel(weka.classifiers.functions.supportVector.Kernel)"><!-- --></A><H3>
setKernel</H3>
<PRE>
public void <B>setKernel</B>(<A HREF="../../../weka/classifiers/functions/supportVector/Kernel.html" title="class in weka.classifiers.functions.supportVector">Kernel</A>&nbsp;value)</PRE>
<DL>
<DD>sets the kernel to use
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<DT><B>Parameters:</B><DD><CODE>value</CODE> - the kernel to use</DL>
</DD>
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<A NAME="getKernel()"><!-- --></A><H3>
getKernel</H3>
<PRE>
public <A HREF="../../../weka/classifiers/functions/supportVector/Kernel.html" title="class in weka.classifiers.functions.supportVector">Kernel</A> <B>getKernel</B>()</PRE>
<DL>
<DD>Returns the kernel to use
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the current kernel</DL>
</DD>
</DL>
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<A NAME="cTipText()"><!-- --></A><H3>
cTipText</H3>
<PRE>
public java.lang.String <B>cTipText</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>
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