learner.html

数据挖掘方面最新软件

<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/functions/LinearRegression.html" title="class in com.rapidminer.operator.learner.functions">LinearRegression</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This operator calculates a linear regression model.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/functions/LogisticRegression.html" title="class in com.rapidminer.operator.learner.functions">LogisticRegression</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This operator determines a logistic regression model.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/functions/Perceptron.html" title="class in com.rapidminer.operator.learner.functions">Perceptron</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;The perceptron is a type of artificial neural network invented in 1957 by Frank Rosenblatt.</TD>
</TR>
</TABLE>
&nbsp;
<P>
<A NAME="com.rapidminer.operator.learner.functions.kernel"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">
Uses of <A HREF="../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A> in <A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/package-summary.html">com.rapidminer.operator.learner.functions.kernel</A></FONT></TH>
</TR>
</TABLE>
&nbsp;
<P>

<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor">
<TH ALIGN="left" COLSPAN="2">Classes in <A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/package-summary.html">com.rapidminer.operator.learner.functions.kernel</A> that implement <A HREF="../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A></FONT></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html" title="class in com.rapidminer.operator.learner.functions.kernel">AbstractMySVMLearner</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This is the abstract superclass for the support vector machine / KLR
 implementations of Stefan R&uuml;ping.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/GPLearner.html" title="class in com.rapidminer.operator.learner.functions.kernel">GPLearner</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Gaussian Process (GP) Learner.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/JMySVMLearner.html" title="class in com.rapidminer.operator.learner.functions.kernel">JMySVMLearner</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This learner uses the Java implementation of the support vector machine
 <em>mySVM</em> by Stefan R&uuml;ping.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/KernelLogisticRegression.html" title="class in com.rapidminer.operator.learner.functions.kernel">KernelLogisticRegression</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This operator determines a logistic regression model.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/LibSVMLearner.html" title="class in com.rapidminer.operator.learner.functions.kernel">LibSVMLearner</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Applies the <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm">libsvm</a>
 learner by Chih-Chung Chang and Chih-Jen Lin.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/MyKLRLearner.html" title="class in com.rapidminer.operator.learner.functions.kernel">MyKLRLearner</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This is the Java implementation of <em>myKLR</em> by Stefan R&uuml;ping.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/RVMLearner.html" title="class in com.rapidminer.operator.learner.functions.kernel">RVMLearner</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Relevance Vector Machine (RVM) Learner.</TD>
</TR>
</TABLE>
&nbsp;
<P>
<A NAME="com.rapidminer.operator.learner.functions.kernel.evosvm"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">
Uses of <A HREF="../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A> in <A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/package-summary.html">com.rapidminer.operator.learner.functions.kernel.evosvm</A></FONT></TH>
</TR>
</TABLE>
&nbsp;
<P>

<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor">
<TH ALIGN="left" COLSPAN="2">Classes in <A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/package-summary.html">com.rapidminer.operator.learner.functions.kernel.evosvm</A> that implement <A HREF="../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A></FONT></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html" title="class in com.rapidminer.operator.learner.functions.kernel.evosvm">EvoSVM</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This is a SVM implementation using an evolutionary algorithm (ES) to solve
 the dual optimization problem of a SVM.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/PSOSVM.html" title="class in com.rapidminer.operator.learner.functions.kernel.evosvm">PSOSVM</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This is a SVM implementation using a particle swarm optimization (PSO)
 approach to solve the dual optimization problem of a SVM.</TD>
</TR>
</TABLE>
&nbsp;
<P>
<A NAME="com.rapidminer.operator.learner.functions.kernel.hyperhyper"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">
Uses of <A HREF="../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A> in <A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/hyperhyper/package-summary.html">com.rapidminer.operator.learner.functions.kernel.hyperhyper</A></FONT></TH>
</TR>
</TABLE>
&nbsp;
<P>

<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor">
<TH ALIGN="left" COLSPAN="2">Classes in <A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/hyperhyper/package-summary.html">com.rapidminer.operator.learner.functions.kernel.hyperhyper</A> that implement <A HREF="../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A></FONT></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/functions/kernel/hyperhyper/HyperHyper.html" title="class in com.rapidminer.operator.learner.functions.kernel.hyperhyper">HyperHyper</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This is a minimal SVM implementation.</TD>
</TR>
</TABLE>
&nbsp;
<P>
<A NAME="com.rapidminer.operator.learner.functions.neuralnet"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">
Uses of <A HREF="../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A> in <A HREF="../../../../../com/rapidminer/operator/learner/functions/neuralnet/package-summary.html">com.rapidminer.operator.learner.functions.neuralnet</A></FONT></TH>
</TR>
</TABLE>
&nbsp;
<P>

<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor">
<TH ALIGN="left" COLSPAN="2">Classes in <A HREF="../../../../../com/rapidminer/operator/learner/functions/neuralnet/package-summary.html">com.rapidminer.operator.learner.functions.neuralnet</A> that implement <A HREF="../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A></FONT></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/functions/neuralnet/NeuralNetLearner.html" title="class in com.rapidminer.operator.learner.functions.neuralnet">NeuralNetLearner</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This operator learns a model by means of a feed-forward neural network.</TD>
</TR>
</TABLE>
&nbsp;
<P>
<A NAME="com.rapidminer.operator.learner.igss"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">
Uses of <A HREF="../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A> in <A HREF="../../../../../com/rapidminer/operator/learner/igss/package-summary.html">com.rapidminer.operator.learner.igss</A></FONT></TH>
</TR>
</TABLE>
&nbsp;
<P>

<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor">
<TH ALIGN="left" COLSPAN="2">Classes in <A HREF="../../../../../com/rapidminer/operator/learner/igss/package-summary.html">com.rapidminer.operator.learner.igss</A> that implement <A HREF="../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A></FONT></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;class</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/igss/IteratingGSS.html" title="class in com.rapidminer.operator.learner.igss">IteratingGSS</A></B></CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This operator implements the IteratingGSS algorithmus presented in the diploma thesis 'Effiziente Entdeckung unabhaengiger Subgruppen in grossen Datenbanken' at the Department of Computer Science,
 University of Dortmund.</TD>
</TR>
</TABLE>
&nbsp;
<P>
<A NAME="com.rapidminer.operator.learner.lazy"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">
Uses of <A HREF="../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A> in <A HREF="../../../../../com/rapidminer/operator/learner/lazy/package-summary.html">com.rapidminer.operator.learner.lazy</A></FONT></TH>
</TR>
</TABLE>
&nbsp;
<P>