model.html
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.5.0_13) on Mon Jul 14 01:36:31 CEST 2008 --><TITLE>Model (RapidMiner Class Documentation)</TITLE><META NAME="keywords" CONTENT="com.rapidminer.operator.learner.functions.kernel.gaussianprocess.Model class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="Model (RapidMiner Class Documentation)";}</SCRIPT><NOSCRIPT></NOSCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" 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target="_top"><B>NO FRAMES</B></A> <SCRIPT type="text/javascript"> <!-- if(window==top) { document.writeln('<A HREF="../../../../../../../allclasses-noframe.html"><B>All Classes</B></A>'); } //--></SCRIPT><NOSCRIPT> <A HREF="../../../../../../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: NESTED | FIELD | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: FIELD | <A HREF="#constructor_detail">CONSTR</A> | <A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><!-- ======== START OF CLASS DATA ======== --><H2><FONT SIZE="-1">com.rapidminer.operator.learner.functions.kernel.gaussianprocess</FONT><BR>Class Model</H2><PRE>java.lang.Object <IMG SRC="../../../../../../../resources/inherit.gif" ALT="extended by "><B>com.rapidminer.operator.learner.functions.kernel.gaussianprocess.Model</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD>java.io.Serializable</DD></DL><HR><DL><DT><PRE>public class <B>Model</B><DT>extends java.lang.Object<DT>implements java.io.Serializable</DL></PRE><P>The learned model.<P><P><DL><DT><B>Version:</B></DT> <DD>$Id: Model.java,v 1.4 2008/05/09 19:23:17 ingomierswa Exp $</DD><DT><B>Author:</B></DT> <DD>Piotr Kasprzak, Ingo Mierswa</DD><DT><B>See Also:</B><DD><A HREF="../../../../../../../serialized-form.html#com.rapidminer.operator.learner.functions.kernel.gaussianprocess.Model">Serialized Form</A></DL><HR><P><!-- ======== 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/functions/kernel/gaussianprocess/Model.html#Model(com.rapidminer.operator.learner.functions.kernel.rvm.kernel.Kernel, double[][], Jama.Matrix, Jama.Matrix, Jama.Matrix, int, boolean)">Model</A></B>(<A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/rvm/kernel/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.rvm.kernel">Kernel</A> kernel, double[][] basisVectors, Jama.Matrix alpha, Jama.Matrix C, Jama.Matrix Q, int d, boolean regression)</CODE><BR> Constructors</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> double[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/gaussianprocess/Model.html#apply(double[][])">apply</A></B>(double[][] inputVectors)</CODE><BR> Apply the model to all input vectors</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/gaussianprocess/Model.html#applyToVector(double[])">applyToVector</A></B>(double[] x_new)</CODE><BR> Apply the model to a (new) input vector x_t+1 in order to get a prediction, which - as a GP-marignal at x_t+1 - is a one-dimensional gaussian distribution with mean m and covariance sigma^2 (2.22, the parameterisation lemma).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/gaussianprocess/Model.html#getBasisVector(int)">getBasisVector</A></B>(int i)</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/gaussianprocess/Model.html#getBasisVectorValue(int, int)">getBasisVectorValue</A></B>(int i, int j)</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/gaussianprocess/Model.html#getInputDim()">getInputDim</A></B>()</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/gaussianprocess/Model.html#getNumberOfBasisVectors()">getNumberOfBasisVectors</A></B>()</CODE><BR> </TD></TR></TABLE> <A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor">⌨️ 快捷键说明
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