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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
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<TITLE>class EMTrainer</TITLE>
<META NAME="GENERATOR" CONTENT="DOC++ 3.4.8">
</HEAD>
<BODY BGCOLOR="#ffffff">
<H2>class <A HREF="#DOC.DOCU">EMTrainer</A></H2></H2><BLOCKQUOTE>This class is used to train any distribution using the EM algorithm.</BLOCKQUOTE>
<HR>
<H2>Inheritance:</H2>
<APPLET CODE="ClassGraph.class" WIDTH=600 HEIGHT=125>
<param name=classes value="CObject,MObject.html,CTrainer,MTrainer.html,CEMTrainer,MEMTrainer.html,CViterbiTrainer,MViterbiTrainer.html">
<param name=before value="M,M,M,M^_">
<param name=after value="Md_SP,Md_,M,M">
<param name=indent value="0,1,2,2">
<param name=arrowdir value="down">
</APPLET>
<HR>
<DL>
<P><DL>
<DT><H3>Public Fields</H3><DD><DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif><!1><A HREF="Distribution.html">Distribution</A>* <B><A HREF="#DOC.93.1">distribution</A></B>
<DD><I>the distribution to train</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif><!1><A HREF="SeqDataSet.html">SeqDataSet</A>* <B><A HREF="#DOC.93.2">sdata</A></B>
<DD><I>the training set is a SeqDataSet, since we are working with distributions</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>real <B><A HREF="#DOC.93.3">end_accuracy</A></B>
<DD><I>the stopping criterion regarding the accuracy for EM</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>int <B><A HREF="#DOC.93.4">max_iter</A></B>
<DD><I>the stopping criterion regarding the number of iterations for EM</I>
</DL></P>
<P><DL>
<DT><H3>Public Methods</H3><DD><DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif> <B><A HREF="#DOC.93.5">EMTrainer</A></B>(<!1><A HREF="Distribution.html">Distribution</A>* distribution_, <!1><A HREF="SeqDataSet.html">SeqDataSet</A>* data_)
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>virtual void <B><A HREF="#DOC.93.6">decode</A></B>(<!1><A HREF="List.html">List</A>* measurers)
<DD><I>this method computes the most likely path into the distribution.</I>
</DL></P>
</DL>
<HR><H3>Inherited from <A HREF="Trainer.html">Trainer</A>:</H3>
<DL>
<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)
<DT>
<IMG ALT="o" SRC=icon2.gif>virtual void <B>test</B>(<!1><A HREF="List.html">List</A>* measurers)
<DT>
<IMG ALT="o" SRC=icon2.gif>virtual void <B>testExample</B>(<!1><A HREF="List.html">List</A>* measurers, int t)
<DT>
<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)
<DT>
<IMG ALT="o" SRC=icon2.gif>virtual void <B>loadFILE</B>(FILE* <!1><A HREF="Measurer.html#DOC.30.2">file</A>)
<DT>
<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>()
<DT>
<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)
<DT>
<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>)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>setIOption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, int option)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>setROption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, real option)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>setBOption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, bool option)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>load</B>(const char* filename)
<DT>
<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>This class is used to train any distribution using the EM algorithm.
<P></BLOCKQUOTE>
<DL>
<A NAME="distribution"></A>
<A NAME="DOC.93.1"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B><!1><A HREF="Distribution.html">Distribution</A>* distribution</B></TT>
<DD>the distribution to train
<DL><DT><DD></DL><P>
<A NAME="sdata"></A>
<A NAME="DOC.93.2"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B><!1><A HREF="SeqDataSet.html">SeqDataSet</A>* sdata</B></TT>
<DD>the training set is a SeqDataSet, since we are working with distributions
<DL><DT><DD></DL><P>
<A NAME="end_accuracy"></A>
<A NAME="DOC.93.3"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>real end_accuracy</B></TT>
<DD>the stopping criterion regarding the accuracy for EM
<DL><DT><DD></DL><P>
<A NAME="max_iter"></A>
<A NAME="DOC.93.4"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>int max_iter</B></TT>
<DD>the stopping criterion regarding the number of iterations for EM
<DL><DT><DD></DL><P>
<A NAME="EMTrainer"></A>
<A NAME="DOC.93.5"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B> EMTrainer(<!1><A HREF="Distribution.html">Distribution</A>* distribution_, <!1><A HREF="SeqDataSet.html">SeqDataSet</A>* data_)</B></TT>
<DL><DT><DD></DL><P>
<A NAME="decode"></A>
<A NAME="DOC.93.6"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>virtual void decode(<!1><A HREF="List.html">List</A>* measurers)</B></TT>
<DD>this method computes the most likely path into the distribution.
mainly used for sequential distribution such as HMMs.
<DL><DT><DD></DL><P></DL>
<HR>
<DL><DT><B>Direct child classes:
</B><DD><A HREF="ViterbiTrainer.html">ViterbiTrainer</A><BR>
</DL>
<DL><DT><DT><B>Author:</B><DD>Samy Bengio (bengio@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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