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</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/igss/IteratingGSS.html#PARAMETER_MAX_COMPLEXITY">PARAMETER_MAX_COMPLEXITY</A></B></CODE><BR> The parameter name for "the maximum complexity of hypothesis"</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/igss/IteratingGSS.html#PARAMETER_MIN_COMPLEXITY">PARAMETER_MIN_COMPLEXITY</A></B></CODE><BR> The parameter name for "the minimum complexity of hypothesis"</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/igss/IteratingGSS.html#PARAMETER_MIN_UTILITY_PRUNING">PARAMETER_MIN_UTILITY_PRUNING</A></B></CODE><BR> The parameter name for "minimum utility used for pruning"</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/igss/IteratingGSS.html#PARAMETER_MIN_UTILITY_USEFUL">PARAMETER_MIN_UTILITY_USEFUL</A></B></CODE><BR> The parameter name for "minimum utility for the usefulness of a rule"</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/igss/IteratingGSS.html#PARAMETER_REJECTION_SAMPLING">PARAMETER_REJECTION_SAMPLING</A></B></CODE><BR> The parameter name for "use rejection sampling instead of weighted examples"</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/igss/IteratingGSS.html#PARAMETER_RESET_WEIGHTS">PARAMETER_RESET_WEIGHTS</A></B></CODE><BR> The parameter name for "Set weights back to 1 when complexity is increased.</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/igss/IteratingGSS.html#PARAMETER_STEPSIZE">PARAMETER_STEPSIZE</A></B></CODE><BR> The parameter name for "the number of examples drawn before the next hypothesis update"</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/igss/IteratingGSS.html#PARAMETER_USE_BINOMIAL">PARAMETER_USE_BINOMIAL</A></B></CODE><BR> The parameter name for "Switch to binomial utility funtion before increasing complexity"</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/igss/IteratingGSS.html#PARAMETER_USE_KBS">PARAMETER_USE_KBS</A></B></CODE><BR> The parameter name for "use kbs to reweight examples after each iteration"</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/igss/IteratingGSS.html#PARAMETER_USEFUL_CRITERION">PARAMETER_USEFUL_CRITERION</A></B></CODE><BR> The parameter name for "criterion to decide if the complexity is increased "</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/igss/IteratingGSS.html#PARAMETER_UTILITY_FUNCTION">PARAMETER_UTILITY_FUNCTION</A></B></CODE><BR> The parameter name for "the utility function to be used"</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/igss/IteratingGSS.html#TYPE_BEST_UTILITY">TYPE_BEST_UTILITY</A></B></CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/igss/IteratingGSS.html#TYPE_EXAMPLE">TYPE_EXAMPLE</A></B></CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/igss/IteratingGSS.html#TYPE_UTILITY">TYPE_UTILITY</A></B></CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/igss/IteratingGSS.html#TYPE_WORST_UTILITY">TYPE_WORST_UTILITY</A></B></CODE><BR> </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/igss/IteratingGSS.html#IteratingGSS(com.rapidminer.operator.OperatorDescription)">IteratingGSS</A></B>(<A HREF="../../../../../com/rapidminer/operator/OperatorDescription.html" title="class in com.rapidminer.operator">OperatorDescription</A> description)</CODE><BR> Must pass the given object to the superclass.</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> <A HREF="../../../../../com/rapidminer/operator/IOObject.html" title="interface in com.rapidminer.operator">IOObject</A>[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/igss/IteratingGSS.html#apply()">apply</A></B>()</CODE><BR> Trains a model using an ExampleSet from the input.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.util.LinkedList<<A HREF="../../../../../com/rapidminer/operator/learner/igss/hypothesis/Hypothesis.html" title="class in com.rapidminer.operator.learner.igss.hypothesis">Hypothesis</A>></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/igss/IteratingGSS.html#generate(java.util.LinkedList)">generate</A></B>(java.util.LinkedList<<A HREF="../../../../../com/rapidminer/operator/learner/igss/hypothesis/Hypothesis.html" title="class in com.rapidminer.operator.learner.igss.hypothesis">Hypothesis</A>> oldHypothesis)</CODE><BR> Generates all successors of the hypothesis in the given list.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.Class<?>[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/igss/IteratingGSS.html#getOutputClasses()">getOutputClasses</A></B>()</CODE><BR> Returns the classes that are guaranteed to be returned by <tt>apply()</tt> as additional output.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.util.List<<A HREF="../../../../../com/rapidminer/parameter/ParameterType.html" title="class in com.rapidminer.parameter">ParameterType</A>></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/igss/IteratingGSS.html#getParameterTypes()">getParameterTypes</A></B>()</CODE><BR> Returns a list of <tt>ParameterTypes</tt> describing the parameters of this operator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.util.LinkedList<<A HREF="../../../../../com/rapidminer/operator/learner/igss/Result.html" title="class in com.rapidminer.operator.learner.igss">Result</A>></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/igss/IteratingGSS.html#gss(com.rapidminer.example.ExampleSet, java.util.LinkedList, double, double)">gss</A></B>(<A HREF="../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> exampleSet, java.util.LinkedList<<A HREF="../../../../../com/rapidminer/operator/learner/igss/hypothesis/Hypothesis.html" title="class in com.rapidminer.operator.learner.igss.hypothesis">Hypothesis</A>> hypothesisList, double delta, double epsilon)</CODE><BR> Returns the n best hypothesis with maximum error epsilon with confidence 1-delta.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/igss/IteratingGSS.html#isUseful(com.rapidminer.operator.learner.igss.Result, java.util.LinkedList, int, com.rapidminer.example.ExampleSet, int)">isUseful</A></B>(<A HREF="../../../../../com/rapidminer/operator/learner/igss/Result.html" title="class in com.rapidminer.operator.learner.igss">Result</A> current, java.util.LinkedList<<A HREF="../../../../../com/rapidminer/operator/learner/igss/Result.html" title="class in com.rapidminer.operator.learner.igss">Result</A>> otherResults, int criterion, <A HREF="../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> exampleSet, int min_model_number)</CODE><BR> Test if the model is useful according to the given criterion.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor">⌨️ 快捷键说明
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