nominallossfunction.html
来自「weka是机器学习和数据挖掘领域最有影响力的开源项目之一」· HTML 代码 · 共 234 行
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<B>NominalLossFunction</B></DL></PRE><P>Interface for incorporating different loss functions. <p> This interface contains only one method, namely <code> loss </code> that measures the error between an actual class value <code> actual </code> and a predicted value <code> predicted. </code> It is understood that the return value of this method is always be positive and that it is zero if and only if the actual and the predicted value coincide. </p> <p> This implementation is done as part of the master's thesis: "Studie en implementatie van instantie-gebaseerde algoritmen voor gesuperviseerd rangschikken", Stijn Lievens, Ghent University, 2004. </p><P><P><DL><DT><B>Version:</B></DT> <DD>$Revision: 1.1 $</DD><DT><B>Author:</B></DT> <DD>Stijn Lievens (stijn.lievens@ugent.be)</DD></DL><HR><P><!-- ========== 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="../../../../weka/classifiers/misc/monotone/NominalLossFunction.html#loss(double, double)">loss</A></B>(double actual, double predicted)</CODE><BR> Calculate the loss between an actual and a predicted class value.</TD></TR></TABLE> <P><!-- ============ METHOD DETAIL ========== --><A NAME="method_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Method Detail</B></FONT></TH></TR></TABLE><A NAME="loss(double, double)"><!-- --></A><H3>loss</H3><PRE>double <B>loss</B>(double actual, double predicted)</PRE><DL><DD>Calculate the loss between an actual and a predicted class value.<P><DD><DL><DT><B>Parameters:</B><DD><CODE>actual</CODE> - the actual class value<DD><CODE>predicted</CODE> - the predicted class value<DT><B>Returns:</B><DD>a measure for the error of making the prediction <code> predicted </code> instead of <code> actual </code></DL></DD></DL><!-- ========= END OF CLASS DATA ========= --><HR><!-- ======= START OF BOTTOM NAVBAR ====== --><A NAME="navbar_bottom"><!-- --></A><A HREF="#skip-navbar_bottom" 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_bottom_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-summary.html"><FONT 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