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&nbsp;<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="PARAMETER_SVM_TYPE"><!-- --></A><H3>PARAMETER_SVM_TYPE</H3><PRE>public static final java.lang.String <B>PARAMETER_SVM_TYPE</B></PRE><DL><DD>The parameter name for &quot;SVM for classification (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class)&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.PARAMETER_SVM_TYPE">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_KERNEL_TYPE"><!-- --></A><H3>PARAMETER_KERNEL_TYPE</H3><PRE>public static final java.lang.String <B>PARAMETER_KERNEL_TYPE</B></PRE><DL><DD>The parameter name for &quot;The type of the kernel functions&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.PARAMETER_KERNEL_TYPE">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_DEGREE"><!-- --></A><H3>PARAMETER_DEGREE</H3><PRE>public static final java.lang.String <B>PARAMETER_DEGREE</B></PRE><DL><DD>The parameter name for &quot;The degree for a polynomial kernel function.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.PARAMETER_DEGREE">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_GAMMA"><!-- --></A><H3>PARAMETER_GAMMA</H3><PRE>public static final java.lang.String <B>PARAMETER_GAMMA</B></PRE><DL><DD>The parameter name for &quot;The parameter gamma for polynomial, rbf, and sigmoid kernel functions (0 means 1/#attributes).&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.PARAMETER_GAMMA">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_COEF0"><!-- --></A><H3>PARAMETER_COEF0</H3><PRE>public static final java.lang.String <B>PARAMETER_COEF0</B></PRE><DL><DD>The parameter name for &quot;The parameter coef0 for polynomial and sigmoid kernel functions.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.PARAMETER_COEF0">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_C"><!-- --></A><H3>PARAMETER_C</H3><PRE>public static final java.lang.String <B>PARAMETER_C</B></PRE><DL><DD>The parameter name for &quot;The cost parameter C for c_svc, epsilon_svr, and nu_svr.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.PARAMETER_C">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_NU"><!-- --></A><H3>PARAMETER_NU</H3><PRE>public static final java.lang.String <B>PARAMETER_NU</B></PRE><DL><DD>The parameter name for &quot;The parameter nu for nu_svc, one_class, and nu_svr.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.PARAMETER_NU">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_CACHE_SIZE"><!-- --></A><H3>PARAMETER_CACHE_SIZE</H3><PRE>public static final java.lang.String <B>PARAMETER_CACHE_SIZE</B></PRE><DL><DD>The parameter name for &quot;Cache size in Megabyte.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.PARAMETER_CACHE_SIZE">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_EPSILON"><!-- --></A><H3>PARAMETER_EPSILON</H3><PRE>public static final java.lang.String <B>PARAMETER_EPSILON</B></PRE><DL><DD>The parameter name for &quot;Tolerance of termination criterion.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.PARAMETER_EPSILON">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_P"><!-- --></A><H3>PARAMETER_P</H3><PRE>public static final java.lang.String <B>PARAMETER_P</B></PRE><DL><DD>The parameter name for &quot;Tolerance of loss function of epsilon-SVR.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.PARAMETER_P">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_CLASS_WEIGHTS"><!-- --></A><H3>PARAMETER_CLASS_WEIGHTS</H3><PRE>public static final java.lang.String <B>PARAMETER_CLASS_WEIGHTS</B></PRE><DL><DD>The parameter name for &quot;The weights w for all classes (first column: class name, second column: weight), i.e. set the parameters C of each class w * C (empty: using 1 for all classes where the weight was not defined).&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.PARAMETER_CLASS_WEIGHTS">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_SHRINKING"><!-- --></A><H3>PARAMETER_SHRINKING</H3><PRE>public static final java.lang.String <B>PARAMETER_SHRINKING</B></PRE><DL><DD>The parameter name for &quot;Whether to use the shrinking heuristics.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.PARAMETER_SHRINKING">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_CALCULATE_CONFIDENCES"><!-- --></A><H3>PARAMETER_CALCULATE_CONFIDENCES</H3><PRE>public static final java.lang.String <B>PARAMETER_CALCULATE_CONFIDENCES</B></PRE><DL><DD>The parameter name for &quot;Indicates if proper confidence values should be calculated.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.PARAMETER_CALCULATE_CONFIDENCES">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_CONFIDENCE_FOR_MULTICLASS"><!-- --></A><H3>PARAMETER_CONFIDENCE_FOR_MULTICLASS</H3><PRE>public static final java.lang.String <B>PARAMETER_CONFIDENCE_FOR_MULTICLASS</B></PRE><DL><DD>The parameter name for &quot;Indicates if proper confidence values should be calculated.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.PARAMETER_CONFIDENCE_FOR_MULTICLASS">Constant Field Values</A></DL></DL><HR><A NAME="SVM_TYPES"><!-- --></A><H3>SVM_TYPES</H3><PRE>public static final java.lang.String[] <B>SVM_TYPES</B></PRE><DL><DD>The different SVM types implemented by the LibSVM package.<P><DL></DL></DL><HR><A NAME="SVM_TYPE_C_SVC"><!-- --></A><H3>SVM_TYPE_C_SVC</H3><PRE>public static final int <B>SVM_TYPE_C_SVC</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.LibSVMLearner.SVM_TYPE_C_SVC">Constant Field Values</A></DL></DL><HR><A NAME="SVM_TYPE_NU_SVC"><!-- --></A><H3>SVM_TYPE_NU_SVC</H3>

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