svm.html

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<A NAME="reset_shrinked()"><!-- --></A><H3>
reset_shrinked</H3>
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protected void <B>reset_shrinked</B>()</PRE>
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<DD>reset the shrinked variables
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<A NAME="project_to_constraint()"><!-- --></A><H3>
project_to_constraint</H3>
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protected void <B>project_to_constraint</B>()</PRE>
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<DD>Project variables to constraints
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<A NAME="calculate_working_set()"><!-- --></A><H3>
calculate_working_set</H3>
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protected void <B>calculate_working_set</B>()</PRE>
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<DD>Calculates the working set
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<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - on any error</DL>
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<A NAME="update_working_set()"><!-- --></A><H3>
update_working_set</H3>
<PRE>
protected void <B>update_working_set</B>()</PRE>
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<DD>Updates the working set
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<A NAME="init_working_set()"><!-- --></A><H3>
init_working_set</H3>
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protected void <B>init_working_set</B>()</PRE>
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<DD>Initialises the working set
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</DL>
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<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - on any error</DL>
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<A NAME="optimize()"><!-- --></A><H3>
optimize</H3>
<PRE>
protected abstract void <B>optimize</B>()</PRE>
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<DD>Calls the optimizer
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<A NAME="put_optimizer_values()"><!-- --></A><H3>
put_optimizer_values</H3>
<PRE>
protected void <B>put_optimizer_values</B>()</PRE>
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<DD>Stores the optimizer results
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<A NAME="convergence()"><!-- --></A><H3>
convergence</H3>
<PRE>
protected boolean <B>convergence</B>()</PRE>
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<DD>Checks if the optimization converged
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<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>boolean true optimzation if converged</DL>
</DD>
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<A NAME="nabla(int)"><!-- --></A><H3>
nabla</H3>
<PRE>
protected abstract double <B>nabla</B>(int&nbsp;i)</PRE>
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<DD><DL>
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<A NAME="lambda(int)"><!-- --></A><H3>
lambda</H3>
<PRE>
protected double <B>lambda</B>(int&nbsp;i)</PRE>
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<DD>lagrangion multiplier of variable i
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<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>i</CODE> - variable index
<DT><B>Returns:</B><DD>lambda</DL>
</DD>
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<A NAME="feasible(int)"><!-- --></A><H3>
feasible</H3>
<PRE>
protected boolean <B>feasible</B>(int&nbsp;i)</PRE>
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<DD><DL>
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<A NAME="is_alpha_neg(int)"><!-- --></A><H3>
is_alpha_neg</H3>
<PRE>
protected abstract boolean <B>is_alpha_neg</B>(int&nbsp;i)</PRE>
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</DD>
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<A NAME="logln(int, java.lang.String)"><!-- --></A><H3>
logln</H3>
<PRE>
protected void <B>logln</B>(int&nbsp;level,
                     java.lang.String&nbsp;message)</PRE>
<DL>
<DD>log the output plus newline
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<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>level</CODE> - warning level<DD><CODE>message</CODE> - Message test</DL>
</DD>
</DL>
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<A NAME="logWarning(java.lang.String)"><!-- --></A><H3>
logWarning</H3>
<PRE>
protected void <B>logWarning</B>(java.lang.String&nbsp;message)</PRE>
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<DD><DL>
</DL>
</DD>
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<A NAME="predict(com.rapidminer.operator.learner.functions.kernel.jmysvm.examples.SVMExamples)"><!-- --></A><H3>
predict</H3>
<PRE>
public void <B>predict</B>(<A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/jmysvm/examples/SVMExamples.html" title="class in com.rapidminer.operator.learner.functions.kernel.jmysvm.examples">SVMExamples</A>&nbsp;to_predict)</PRE>
<DL>
<DD>predict values on the testset with model
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<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/jmysvm/svm/SVMInterface.html#predict(com.rapidminer.operator.learner.functions.kernel.jmysvm.examples.SVMExamples)">predict</A></CODE> in interface <CODE><A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/jmysvm/svm/SVMInterface.html" title="interface in com.rapidminer.operator.learner.functions.kernel.jmysvm.svm">SVMInterface</A></CODE></DL>
</DD>
<DD><DL>
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</DD>
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<A NAME="predict(int)"><!-- --></A><H3>
predict</H3>
<PRE>
public double <B>predict</B>(int&nbsp;i)</PRE>
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<DD><DL>
</DL>
</DD>
<DD><DL>
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</DD>
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<A NAME="predict(com.rapidminer.operator.learner.functions.kernel.jmysvm.examples.SVMExample)"><!-- --></A><H3>
predict</H3>
<PRE>
public double <B>predict</B>(<A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/jmysvm/examples/SVMExample.html" title="class in com.rapidminer.operator.learner.functions.kernel.jmysvm.examples">SVMExample</A>&nbsp;sVMExample)</PRE>
<DL>
<DD>predict a single example
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<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/jmysvm/svm/SVMInterface.html#predict(com.rapidminer.operator.learner.functions.kernel.jmysvm.examples.SVMExample)">predict</A></CODE> in interface <CODE><A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/jmysvm/svm/SVMInterface.html" title="interface in com.rapidminer.operator.learner.functions.kernel.jmysvm.svm">SVMInterface</A></CODE></DL>
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<A NAME="check()"><!-- --></A><H3>
check</H3>
<PRE>
protected void <B>check</B>()</PRE>
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<DD>check internal variables, for debugging only
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</DL>
</DD>
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<A NAME="getXiAlphaEstimation(com.rapidminer.operator.learner.functions.kernel.jmysvm.kernel.Kernel)"><!-- --></A><H3>
getXiAlphaEstimation</H3>
<PRE>
public double[] <B>getXiAlphaEstimation</B>(<A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/jmysvm/kernel/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.jmysvm.kernel">Kernel</A>&nbsp;kernel)</PRE>
<DL>
<DD>Returns a double array of estimated performance values. These are
 accuracy, precision and recall. Works only for classification SVMs.
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