logisticregression.html

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<B>Field Detail</B></FONT></TH>
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<A NAME="PARAMETER_ADD_INTERCEPT"><!-- --></A><H3>
PARAMETER_ADD_INTERCEPT</H3>
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public static final java.lang.String <B>PARAMETER_ADD_INTERCEPT</B></PRE>
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<DD>The parameter name for &quot;Determines whether to include an intercept.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../constant-values.html#com.rapidminer.operator.learner.functions.LogisticRegression.PARAMETER_ADD_INTERCEPT">Constant Field Values</A></DL>
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<A NAME="PARAMETER_RETURN_PERFORMANCE"><!-- --></A><H3>
PARAMETER_RETURN_PERFORMANCE</H3>
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public static final java.lang.String <B>PARAMETER_RETURN_PERFORMANCE</B></PRE>
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<DD>The parameter name for &quot;Determines whether to return the performance.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../constant-values.html#com.rapidminer.operator.learner.functions.LogisticRegression.PARAMETER_RETURN_PERFORMANCE">Constant Field Values</A></DL>
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<A NAME="PARAMETER_START_POPULATION_TYPE"><!-- --></A><H3>
PARAMETER_START_POPULATION_TYPE</H3>
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public static final java.lang.String <B>PARAMETER_START_POPULATION_TYPE</B></PRE>
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<DD>The parameter name for &quot;The type of start population initialization.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../constant-values.html#com.rapidminer.operator.learner.functions.LogisticRegression.PARAMETER_START_POPULATION_TYPE">Constant Field Values</A></DL>
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<A NAME="PARAMETER_MAX_GENERATIONS"><!-- --></A><H3>
PARAMETER_MAX_GENERATIONS</H3>
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public static final java.lang.String <B>PARAMETER_MAX_GENERATIONS</B></PRE>
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<DD>The parameter name for &quot;Stop after this many evaluations&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../constant-values.html#com.rapidminer.operator.learner.functions.LogisticRegression.PARAMETER_MAX_GENERATIONS">Constant Field Values</A></DL>
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<A NAME="PARAMETER_GENERATIONS_WITHOUT_IMPROVAL"><!-- --></A><H3>
PARAMETER_GENERATIONS_WITHOUT_IMPROVAL</H3>
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public static final java.lang.String <B>PARAMETER_GENERATIONS_WITHOUT_IMPROVAL</B></PRE>
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<DD>The parameter name for &quot;Stop after this number of generations without improvement (-1: optimize until max_iterations).&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../constant-values.html#com.rapidminer.operator.learner.functions.LogisticRegression.PARAMETER_GENERATIONS_WITHOUT_IMPROVAL">Constant Field Values</A></DL>
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<A NAME="PARAMETER_POPULATION_SIZE"><!-- --></A><H3>
PARAMETER_POPULATION_SIZE</H3>
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public static final java.lang.String <B>PARAMETER_POPULATION_SIZE</B></PRE>
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<DD>The parameter name for &quot;The population size (-1: number of examples)&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../constant-values.html#com.rapidminer.operator.learner.functions.LogisticRegression.PARAMETER_POPULATION_SIZE">Constant Field Values</A></DL>
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<A NAME="PARAMETER_TOURNAMENT_FRACTION"><!-- --></A><H3>
PARAMETER_TOURNAMENT_FRACTION</H3>
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public static final java.lang.String <B>PARAMETER_TOURNAMENT_FRACTION</B></PRE>
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<DD>The parameter name for &quot;The fraction of the population used for tournament selection.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../constant-values.html#com.rapidminer.operator.learner.functions.LogisticRegression.PARAMETER_TOURNAMENT_FRACTION">Constant Field Values</A></DL>
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<A NAME="PARAMETER_KEEP_BEST"><!-- --></A><H3>
PARAMETER_KEEP_BEST</H3>
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public static final java.lang.String <B>PARAMETER_KEEP_BEST</B></PRE>
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<DD>The parameter name for &quot;Indicates if the best individual should survive (elititst selection).&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../constant-values.html#com.rapidminer.operator.learner.functions.LogisticRegression.PARAMETER_KEEP_BEST">Constant Field Values</A></DL>
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<A NAME="PARAMETER_MUTATION_TYPE"><!-- --></A><H3>
PARAMETER_MUTATION_TYPE</H3>
<PRE>
public static final java.lang.String <B>PARAMETER_MUTATION_TYPE</B></PRE>
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<DD>The parameter name for &quot;The type of the mutation operator.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../constant-values.html#com.rapidminer.operator.learner.functions.LogisticRegression.PARAMETER_MUTATION_TYPE">Constant Field Values</A></DL>
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<A NAME="PARAMETER_SELECTION_TYPE"><!-- --></A><H3>
PARAMETER_SELECTION_TYPE</H3>
<PRE>
public static final java.lang.String <B>PARAMETER_SELECTION_TYPE</B></PRE>
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<DD>The parameter name for &quot;The type of the selection operator.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../constant-values.html#com.rapidminer.operator.learner.functions.LogisticRegression.PARAMETER_SELECTION_TYPE">Constant Field Values</A></DL>
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<A NAME="PARAMETER_CROSSOVER_PROB"><!-- --></A><H3>
PARAMETER_CROSSOVER_PROB</H3>
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public static final java.lang.String <B>PARAMETER_CROSSOVER_PROB</B></PRE>
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<DD>The parameter name for &quot;The probability for crossovers.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../constant-values.html#com.rapidminer.operator.learner.functions.LogisticRegression.PARAMETER_CROSSOVER_PROB">Constant Field Values</A></DL>
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<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>
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<DD>The parameter name for &quot;Use the given random seed instead of global random numbers (-1: use global).&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../constant-values.html#com.rapidminer.operator.learner.functions.LogisticRegression.PARAMETER_LOCAL_RANDOM_SEED">Constant Field Values</A></DL>
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<A NAME="PARAMETER_SHOW_CONVERGENCE_PLOT"><!-- --></A><H3>
PARAMETER_SHOW_CONVERGENCE_PLOT</H3>
<PRE>
public static final java.lang.String <B>PARAMETER_SHOW_CONVERGENCE_PLOT</B></PRE>
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<DD>The parameter name for &quot;Indicates if a dialog with a convergence plot should be drawn.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../constant-values.html#com.rapidminer.operator.learner.functions.LogisticRegression.PARAMETER_SHOW_CONVERGENCE_PLOT">Constant Field Values</A></DL>
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<!-- ========= CONSTRUCTOR DETAIL ======== -->

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<A NAME="LogisticRegression(com.rapidminer.operator.OperatorDescription)"><!-- --></A><H3>
LogisticRegression</H3>
<PRE>