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<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_KERNEL_TYPE">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_KERNEL_GAMMA"><!-- --></A><H3>PARAMETER_KERNEL_GAMMA</H3><PRE>public static final java.lang.String <B>PARAMETER_KERNEL_GAMMA</B></PRE><DL><DD>The parameter name for &quot;The SVM kernel parameter gamma (RBF, anova).&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_KERNEL_GAMMA">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_KERNEL_SIGMA1"><!-- --></A><H3>PARAMETER_KERNEL_SIGMA1</H3><PRE>public static final java.lang.String <B>PARAMETER_KERNEL_SIGMA1</B></PRE><DL><DD>The parameter name for &quot;The SVM kernel parameter sigma1 (Epanechnikov, Gaussian Combination, Multiquadric).&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_KERNEL_SIGMA1">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_KERNEL_SIGMA2"><!-- --></A><H3>PARAMETER_KERNEL_SIGMA2</H3><PRE>public static final java.lang.String <B>PARAMETER_KERNEL_SIGMA2</B></PRE><DL><DD>The parameter name for &quot;The SVM kernel parameter sigma2 (Gaussian Combination).&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_KERNEL_SIGMA2">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_KERNEL_SIGMA3"><!-- --></A><H3>PARAMETER_KERNEL_SIGMA3</H3><PRE>public static final java.lang.String <B>PARAMETER_KERNEL_SIGMA3</B></PRE><DL><DD>The parameter name for &quot;The SVM kernel parameter sigma3 (Gaussian Combination).&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_KERNEL_SIGMA3">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_KERNEL_DEGREE"><!-- --></A><H3>PARAMETER_KERNEL_DEGREE</H3><PRE>public static final java.lang.String <B>PARAMETER_KERNEL_DEGREE</B></PRE><DL><DD>The parameter name for &quot;The SVM kernel parameter degree (polynomial, anova, Epanechnikov).&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_KERNEL_DEGREE">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_KERNEL_SHIFT"><!-- --></A><H3>PARAMETER_KERNEL_SHIFT</H3><PRE>public static final java.lang.String <B>PARAMETER_KERNEL_SHIFT</B></PRE><DL><DD>The parameter name for &quot;The SVM kernel parameter shift (polynomial, Multiquadric).&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_KERNEL_SHIFT">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_KERNEL_A"><!-- --></A><H3>PARAMETER_KERNEL_A</H3><PRE>public static final java.lang.String <B>PARAMETER_KERNEL_A</B></PRE><DL><DD>The parameter name for &quot;The SVM kernel parameter a (neural).&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_KERNEL_A">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_KERNEL_B"><!-- --></A><H3>PARAMETER_KERNEL_B</H3><PRE>public static final java.lang.String <B>PARAMETER_KERNEL_B</B></PRE><DL><DD>The parameter name for &quot;The SVM kernel parameter b (neural).&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_KERNEL_B">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 SVM complexity constant (0: calculates probably good value).&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_C">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;The width of the regression tube loss function of the regression SVM&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_EPSILON">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_START_POPULATION_TYPE"><!-- --></A><H3>PARAMETER_START_POPULATION_TYPE</H3><PRE>public static final java.lang.String <B>PARAMETER_START_POPULATION_TYPE</B></PRE><DL><DD>The parameter name for &quot;The type of start population initialization.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_START_POPULATION_TYPE">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_MAX_GENERATIONS"><!-- --></A><H3>PARAMETER_MAX_GENERATIONS</H3><PRE>public static final java.lang.String <B>PARAMETER_MAX_GENERATIONS</B></PRE><DL><DD>The parameter name for &quot;Stop after this many evaluations&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_MAX_GENERATIONS">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_GENERATIONS_WITHOUT_IMPROVAL"><!-- --></A><H3>PARAMETER_GENERATIONS_WITHOUT_IMPROVAL</H3><PRE>public static final java.lang.String <B>PARAMETER_GENERATIONS_WITHOUT_IMPROVAL</B></PRE><DL><DD>The parameter name for &quot;Stop after this number of generations without improvement (-1: optimize until max_iterations).&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_GENERATIONS_WITHOUT_IMPROVAL">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_POPULATION_SIZE"><!-- --></A><H3>PARAMETER_POPULATION_SIZE</H3><PRE>public static final java.lang.String <B>PARAMETER_POPULATION_SIZE</B></PRE><DL><DD>The parameter name for &quot;The population size (-1: number of examples)&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_POPULATION_SIZE">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_TOURNAMENT_FRACTION"><!-- --></A><H3>PARAMETER_TOURNAMENT_FRACTION</H3><PRE>public static final java.lang.String <B>PARAMETER_TOURNAMENT_FRACTION</B></PRE><DL><DD>The parameter name for &quot;The fraction of the population used for tournament selection.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_TOURNAMENT_FRACTION">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_KEEP_BEST"><!-- --></A><H3>PARAMETER_KEEP_BEST</H3><PRE>public static final java.lang.String <B>PARAMETER_KEEP_BEST</B></PRE><DL><DD>The parameter name for &quot;Indicates if the best individual should survive (elititst selection).&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_KEEP_BEST">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_MUTATION_TYPE"><!-- --></A><H3>PARAMETER_MUTATION_TYPE</H3><PRE>public static final java.lang.String <B>PARAMETER_MUTATION_TYPE</B></PRE><DL><DD>The parameter name for &quot;The type of the mutation operator.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_MUTATION_TYPE">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_SELECTION_TYPE"><!-- --></A><H3>PARAMETER_SELECTION_TYPE</H3><PRE>public static final java.lang.String <B>PARAMETER_SELECTION_TYPE</B></PRE><DL><DD>The parameter name for &quot;The type of the selection operator.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_SELECTION_TYPE">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_CROSSOVER_PROB"><!-- --></A><H3>PARAMETER_CROSSOVER_PROB</H3><PRE>public static final java.lang.String <B>PARAMETER_CROSSOVER_PROB</B></PRE><DL><DD>The parameter name for &quot;The probability for crossovers.&quot;<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM.PARAMETER_CROSSOVER_PROB">Constant Field Values</A></DL></DL><HR><A NAME="PARAMETER_LOCAL_RANDOM_SEED"><!-- --></A><H3>PARAMETER_LOCAL_RANDOM_SEED</H3><PRE>public static final java.lang.String <B>PARAMETER_LOCAL_RANDOM_SEED</B></PRE><DL><DD>The parameter name for &quot;Use the given random seed instead of global random numbers (-1: use global).&quot;<P><DL>

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