abstractmysvmlearner.html
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<CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_C">PARAMETER_C</A></B></CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_CALCULATE_WEIGHTS">PARAMETER_CALCULATE_WEIGHTS</A></B></CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_CONVERGENCE_EPSILON">PARAMETER_CONVERGENCE_EPSILON</A></B></CODE><BR> The parameter name for "Precision on the KKT conditions"</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_KERNEL_A">PARAMETER_KERNEL_A</A></B></CODE><BR> The parameter name for "The SVM kernel parameter a (neural).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_KERNEL_B">PARAMETER_KERNEL_B</A></B></CODE><BR> The parameter name for "The SVM kernel parameter b (neural).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_KERNEL_CACHE">PARAMETER_KERNEL_CACHE</A></B></CODE><BR> The parameter name for "Size of the cache for kernel evaluations im MB "</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_KERNEL_DEGREE">PARAMETER_KERNEL_DEGREE</A></B></CODE><BR> The parameter name for "The SVM kernel parameter degree (polynomial, anova, epanechnikov).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_KERNEL_GAMMA">PARAMETER_KERNEL_GAMMA</A></B></CODE><BR> The parameter name for "The SVM kernel parameter gamma (radial, anova).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_KERNEL_SHIFT">PARAMETER_KERNEL_SHIFT</A></B></CODE><BR> The parameter name for "The SVM kernel parameter shift (multiquadric).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_KERNEL_SIGMA1">PARAMETER_KERNEL_SIGMA1</A></B></CODE><BR> The parameter name for "The SVM kernel parameter sigma1 (epanechnikov, gaussian combination, multiquadric).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_KERNEL_SIGMA2">PARAMETER_KERNEL_SIGMA2</A></B></CODE><BR> The parameter name for "The SVM kernel parameter sigma2 (gaussian combination).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_KERNEL_SIGMA3">PARAMETER_KERNEL_SIGMA3</A></B></CODE><BR> The parameter name for "The SVM kernel parameter sigma3 (gaussian combination).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_KERNEL_TYPE">PARAMETER_KERNEL_TYPE</A></B></CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_MAX_ITERATIONS">PARAMETER_MAX_ITERATIONS</A></B></CODE><BR> The parameter name for "Stop after this many iterations"</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_RETURN_OPTIMIZATION_PERFORMANCE">PARAMETER_RETURN_OPTIMIZATION_PERFORMANCE</A></B></CODE><BR> The parameter name for "Indicates if final optimization fitness should be returned as performance.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#PARAMETER_SCALE">PARAMETER_SCALE</A></B></CODE><BR> The parameter name for "Scale the example values and store the scaling parameters for test set.</TD></TR></TABLE> <A NAME="fields_inherited_from_class_com.rapidminer.operator.learner.AbstractLearner"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Fields inherited from class com.rapidminer.operator.learner.<A HREF="../../../../../../com/rapidminer/operator/learner/AbstractLearner.html" title="class in com.rapidminer.operator.learner">AbstractLearner</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../../../../com/rapidminer/operator/learner/AbstractLearner.html#PROPERTY_RAPIDMINER_GENERAL_CAPABILITIES_WARN">PROPERTY_RAPIDMINER_GENERAL_CAPABILITIES_WARN</A></CODE></TD></TR></TABLE> <!-- ======== CONSTRUCTOR SUMMARY ======== --><A NAME="constructor_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>Constructor Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#AbstractMySVMLearner(com.rapidminer.operator.OperatorDescription)">AbstractMySVMLearner</A></B>(<A HREF="../../../../../../com/rapidminer/operator/OperatorDescription.html" title="class in com.rapidminer.operator">OperatorDescription</A> description)</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>static <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></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#createKernel(int)">createKernel</A></B>(int kernelType)</CODE><BR> Creates a new kernel of the given type.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>abstract <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></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#createSVM(com.rapidminer.example.Attribute, com.rapidminer.operator.learner.functions.kernel.jmysvm.kernel.Kernel, com.rapidminer.operator.learner.functions.kernel.jmysvm.examples.SVMExamples, com.rapidminer.example.ExampleSet)">createSVM</A></B>(<A HREF="../../../../../../com/rapidminer/example/Attribute.html" title="interface in com.rapidminer.example">Attribute</A> label, <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> svmExamples, <A HREF="../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> rapidMinerExamples)</CODE><BR> Creates a new SVM according to the given label.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>abstract <A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">AbstractMySVMModel</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#createSVMModel(com.rapidminer.example.ExampleSet, com.rapidminer.operator.learner.functions.kernel.jmysvm.examples.SVMExamples, com.rapidminer.operator.learner.functions.kernel.jmysvm.kernel.Kernel, int)">createSVMModel</A></B>(<A HREF="../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> exampleSet, <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> svmExamples, <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, int kernelType)</CODE><BR> Creates a new SVM model from the given data.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>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></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#getKernel()">getKernel</A></B>()</CODE><BR> Returns the kernel of this SVM.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../../../../com/rapidminer/operator/performance/PerformanceVector.html" title="class in com.rapidminer.operator.performance">PerformanceVector</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html#getOptimizationPerformance()">getOptimizationPerformance</A></B>()</CODE><BR> Returns the optimization performance of the best result.</TD></TR>⌨️ 快捷键说明
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