svclustering.html
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<A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVCExampleSet.html" title="class in com.rapidminer.operator.learner.clustering.clusterer">SVCExampleSet</A> new_examples)</CODE><BR> </TD></TR></TABLE> <!-- ========== METHOD SUMMARY =========== --><A NAME="method_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Method Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#calculate_working_set()">calculate_working_set</A></B>()</CODE><BR> Calculates the working set</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#check()">check</A></B>()</CODE><BR> check internal variables, for debugging only</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#convergence()">convergence</A></B>()</CODE><BR> Checks if the optimization converged</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#exit_optimizer()">exit_optimizer</A></B>()</CODE><BR> exit the optimizer</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#feasible(int)">feasible</A></B>(int i)</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#getB()">getB</A></B>()</CODE><BR> Returns the value of b.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#getR()">getR</A></B>()</CODE><BR> Returns the value of R.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#getWeights()">getWeights</A></B>()</CODE><BR> Returns the weights of all features.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#init_optimizer()">init_optimizer</A></B>()</CODE><BR> init the optimizer</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#init_working_set()">init_working_set</A></B>()</CODE><BR> Initialises the working set</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#init(com.rapidminer.operator.learner.functions.kernel.jmysvm.kernel.Kernel, com.rapidminer.operator.learner.clustering.clusterer.SVCExampleSet)">init</A></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> new_kernel, <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVCExampleSet.html" title="class in com.rapidminer.operator.learner.clustering.clusterer">SVCExampleSet</A> new_examples)</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#init(com.rapidminer.operator.learner.functions.kernel.jmysvm.kernel.Kernel, com.rapidminer.operator.learner.functions.kernel.jmysvm.examples.SVMExamples)">init</A></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> kernel_, <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> examples_)</CODE><BR> Initializes this SVM.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#lambda(int)">lambda</A></B>(int i)</CODE><BR> lagrangian multiplier of variable i</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#logln(int, java.lang.String)">logln</A></B>(int level, java.lang.String message)</CODE><BR> log the output plus newline</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#nabla(int)">nabla</A></B>(int i)</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#optimize()">optimize</A></B>()</CODE><BR> Calls the optimizer</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#predict(com.rapidminer.operator.learner.functions.kernel.jmysvm.examples.SVMExample)">predict</A></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> sVMExample)</CODE><BR> predict a single example</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#predict(com.rapidminer.operator.learner.functions.kernel.jmysvm.examples.SVMExamples)">predict</A></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> to_predict)</CODE><BR> predict values on the testset with model</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#print_statistics()">print_statistics</A></B>()</CODE><BR> print statistics about result</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#project_to_constraint()">project_to_constraint</A></B>()</CODE><BR> Project variables to constraints</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#put_optimizer_values()">put_optimizer_values</A></B>()</CODE><BR> Stores the optimizer results</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#reset_shrinked()">reset_shrinked</A></B>()</CODE><BR> reset the shrinked variables</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#shrink()">shrink</A></B>()</CODE><BR> shrink the variables</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#train()">train</A></B>()</CODE><BR> Train the SVM</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVClustering.html#update_working_set()">update_working_set</A></B>()</CODE><BR> Updates the working set</TD></TR></TABLE> <A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ============ FIELD DETAIL =========== --><A NAME="field_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>Field Detail</B></FONT></TH></TR></TABLE><A NAME="kernel"><!-- --></A><H3>kernel</H3><PRE>protected <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> <B>kernel</B></PRE><DL><DL></DL></DL><HR><A NAME="examples"><!-- --></A><H3>examples</H3><PRE>protected <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/SVCExampleSet.html" title="class in com.rapidminer.operator.learner.clustering.clusterer">SVCExampleSet</A> <B>examples</B></PRE><DL><DL></DL></DL><HR><A NAME="examples_total"><!-- --></A><H3>examples_total</H3><PRE>protected int <B>examples_total</B></PRE><DL><DL></DL></DL><HR><A NAME="target_count"><!-- --></A><H3>target_count</H3><PRE>protected int <B>target_count</B></PRE><DL><DL></DL></DL><HR><A NAME="convergence_epsilon"><!-- --></A><H3>convergence_epsilon</H3><PRE>protected double <B>convergence_epsilon</B></PRE><DL><DL></DL></DL><HR><A NAME="lambda_factor"><!-- --></A><H3>lambda_factor</H3><PRE>protected double <B>lambda_factor</B></PRE><DL><DL></DL></DL><HR><A NAME="at_bound"><!-- --></A><H3>at_bound</H3><PRE>protected int[] <B>at_bound</B></PRE><DL><DL></DL></DL><HR><A NAME="sum"><!-- --></A><H3>sum</H3><PRE>protected double[] <B>sum</B></PRE><DL><DL></DL></DL><HR><A NAME="K"><!-- --></A><H3>K</H3><PRE>protected double[] <B>K</B></PRE><DL><DL>⌨️ 快捷键说明
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