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<TITLE>class BayesClassifier</TITLE>
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<H2>class <A HREF="#DOC.DOCU">BayesClassifier</A></H2></H2><BLOCKQUOTE>A multi class bayes classifier -- maximizes the likelihood of each class separately using a trainer for distribution.</BLOCKQUOTE>
<HR>
<H2>Inheritance:</H2>
<APPLET CODE="ClassGraph.class" WIDTH=600 HEIGHT=95>
<param name=classes value="CObject,MObject.html,CTrainer,MTrainer.html,CBayesClassifier,MBayesClassifier.html">
<param name=before value="M,M,M">
<param name=after value="Md_SP,Md_,M">
<param name=indent value="0,1,2">
<param name=arrowdir value="down">
</APPLET>
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<DL>
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<DT><H3>Public Fields</H3><DD><DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif><!1><A HREF="BayesClassifierMachine.html">BayesClassifierMachine</A>* <B><A HREF="#DOC.87.1">bayesmachine</A></B>
<DD><I>the bayes machine</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>int <B><A HREF="#DOC.87.2">n_classes</A></B>
<DD><I>the number of different classes</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>int** <B><A HREF="#DOC.87.3">classes</A></B>
<DD><I>all the example indices of each class</I>
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<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>int* <B><A HREF="#DOC.87.4">classes_n</A></B>
<DD><I>the number of examples per class</I>
</DL></P>
<P><DL>
<DT><H3>Public Methods</H3><DD><DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif> <B><A HREF="#DOC.87.5">BayesClassifier</A></B>( <!1><A HREF="BayesClassifierMachine.html">BayesClassifierMachine</A>*, <!1><A HREF="DataSet.html">DataSet</A>*)
<DD><I>you need to define a BayesClassifierMachine to use this class</I>
</DL></P>
</DL>
<HR><H3>Inherited from <A HREF="Trainer.html">Trainer</A>:</H3>
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<P><DL>
<DT><H3>Public Methods</H3><DD><DT>
<IMG ALT="o" SRC=icon2.gif>virtual void <B>train</B>(<!1><A HREF="List.html">List</A>* measurers)
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<IMG ALT="o" SRC=icon2.gif>virtual void <B>test</B>(<!1><A HREF="List.html">List</A>* measurers)
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<IMG ALT="o" SRC=icon2.gif>virtual void <B>testExample</B>(<!1><A HREF="List.html">List</A>* measurers, int t)
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<IMG ALT="o" SRC=icon2.gif>virtual void <B>crossValidate</B>(int k_fold, <!1><A HREF="List.html">List</A>* train_measurers, <!1><A HREF="List.html">List</A>* test_measurers, <!1><A HREF="List.html">List</A>* cross_valid_measurers=NULL)
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<IMG ALT="o" SRC=icon2.gif>virtual void <B>loadFILE</B>(FILE* <!1><A HREF="Measurer.html#DOC.30.2">file</A>)
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<IMG ALT="o" SRC=icon2.gif>virtual void <B>saveFILE</B>(FILE* <!1><A HREF="Measurer.html#DOC.30.2">file</A>)
</DL></P>
</DL>
<HR><H3>Inherited from <A HREF="Object.html">Object</A>:</H3>
<DL>
<P><DL>
<DT><H3>Public Methods</H3><DD><DT>
<IMG ALT="o" SRC=icon2.gif>virtual void <B>init</B>()
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<IMG ALT="o" SRC=icon2.gif>void <B>addOption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, int size, void* <!1><A HREF="Vec.html#DOC.81.3">ptr</A>, const char* <!1><A HREF="CmdLine.html#DOC.7.3">help</A>="", bool is_allowed_after_init=false)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>addIOption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, int* <!1><A HREF="Vec.html#DOC.81.3">ptr</A>, int init_value, const char* <!1><A HREF="CmdLine.html#DOC.7.3">help</A>="", bool is_allowed_after_init=false)
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<IMG ALT="o" SRC=icon2.gif>void <B>addROption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, real* <!1><A HREF="Vec.html#DOC.81.3">ptr</A>, real init_value, const char* <!1><A HREF="CmdLine.html#DOC.7.3">help</A>="", bool is_allowed_after_init=false)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>addBOption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, bool* <!1><A HREF="Vec.html#DOC.81.3">ptr</A>, bool init_value, const char* <!1><A HREF="CmdLine.html#DOC.7.3">help</A>="", bool is_allowed_after_init=false)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>setOption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, void* <!1><A HREF="Vec.html#DOC.81.3">ptr</A>)
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<IMG ALT="o" SRC=icon2.gif>void <B>setIOption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, int option)
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<IMG ALT="o" SRC=icon2.gif>void <B>setROption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, real option)
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<IMG ALT="o" SRC=icon2.gif>void <B>setBOption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, bool option)
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<IMG ALT="o" SRC=icon2.gif>void <B>load</B>(const char* filename)
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<IMG ALT="o" SRC=icon2.gif>void <B>save</B>(const char* filename)
</DL></P>
</DL>
<A NAME="DOC.DOCU"></A>
<HR>
<H2>Documentation</H2>
<BLOCKQUOTE>A multi class bayes classifier -- maximizes the likelihood of each class
separately using a trainer for distribution. When testing, the predicted
class corresponds to the trainer giving the maximum output, weighted by
its prior probability.
<P></BLOCKQUOTE>
<DL>
<A NAME="bayesmachine"></A>
<A NAME="DOC.87.1"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B><!1><A HREF="BayesClassifierMachine.html">BayesClassifierMachine</A>* bayesmachine</B></TT>
<DD>the bayes machine
<DL><DT><DD></DL><P>
<A NAME="n_classes"></A>
<A NAME="DOC.87.2"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>int n_classes</B></TT>
<DD>the number of different classes
<DL><DT><DD></DL><P>
<A NAME="classes"></A>
<A NAME="DOC.87.3"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>int** classes</B></TT>
<DD>all the example indices of each class
<DL><DT><DD></DL><P>
<A NAME="classes_n"></A>
<A NAME="DOC.87.4"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>int* classes_n</B></TT>
<DD>the number of examples per class
<DL><DT><DD></DL><P>
<A NAME="BayesClassifier"></A>
<A NAME="DOC.87.5"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B> BayesClassifier( <!1><A HREF="BayesClassifierMachine.html">BayesClassifierMachine</A>*, <!1><A HREF="DataSet.html">DataSet</A>*)</B></TT>
<DD>you need to define a BayesClassifierMachine to use this class
<DL><DT><DD></DL><P></DL>
<HR><DL><DT><B>This class has no child classes.</B></DL>
<DL><DT><DT><B>Author:</B><DD>Samy Bengio (bengio@idiap.ch)
Bison Ravi (francois.belisle@idiap.ch)
<DD></DL><P><P><I><A HREF="index.html">Alphabetic index</A></I> <I><A HREF="HIER.html">HTML hierarchy of classes</A> or <A HREF="HIERjava.html">Java</A></I></P><HR>
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