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<TITLE>class Bagging</TITLE>
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<H2>class <A HREF="#DOC.DOCU">Bagging</A></H2></H2><BLOCKQUOTE>This class represents a <TT>Trainer</TT> that implements the well-known Bagging algorithm (Breiman, 1996).</BLOCKQUOTE>
<HR>
<H2>Inheritance:</H2>
<APPLET CODE="ClassGraph.class" WIDTH=600 HEIGHT=95>
<param name=classes value="CObject,MObject.html,CTrainer,MTrainer.html,CBagging,MBagging.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>
<HR>
<DL>
<P><DL>
<DT><H3>Public Fields</H3><DD><DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif><!1><A HREF="WeightedSumMachine.html">WeightedSumMachine</A>* <B><A HREF="#DOC.1.1">w_machine</A></B>
<DD><I>This machine performs the combination.</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>int <B><A HREF="#DOC.1.2">n_trainers</A></B>
<DD><I>The number of trainers in the bagging</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>int** <B><A HREF="#DOC.1.3">unselected_examples</A></B>
<DD><I>for each trainer, keep the indices of examples not used during training</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>int** <B><A HREF="#DOC.1.4">selected_examples</A></B>
<DD><I>for each trainer, keep the indices of examples used during training</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>int* <B><A HREF="#DOC.1.5">n_unselected_examples</A></B>
<DD><I>for each trainer, keep the number of examples not used during training</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>int* <B><A HREF="#DOC.1.6">is_selected_examples</A></B>
<DD><I>for each trainer, keep the number of examples used during training</I>
</DL></P>
<P><DL>
<DT><H3>Public Methods</H3><DD><DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif> <B><A HREF="#DOC.1.7">Bagging</A></B>(<!1><A HREF="WeightedSumMachine.html">WeightedSumMachine</A>* w_machine_, <!1><A HREF="DataSet.html">DataSet</A>* data_)
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>virtual void <B><A HREF="#DOC.1.8">bootstrapData</A></B>(int* selected, int* is_selected)
<DD><I>create a boostrap of the data and put in in selected</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)
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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)
<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)
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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>)
<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>()
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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)
<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>)
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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)
<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 represents a <TT>Trainer</TT> that implements the well-known
Bagging algorithm (Breiman, 1996). A "bagger" contains a series
of trainers, each trained on a bootstrap of the original dataset.
The output of the bagging is then the average of the output of
each trainer.
<P>It is implemented using a <TT>WeightedSumMachine</TT> that performs the combination.
<P></BLOCKQUOTE>
<DL>
<A NAME="w_machine"></A>
<A NAME="DOC.1.1"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B><!1><A HREF="WeightedSumMachine.html">WeightedSumMachine</A>* w_machine</B></TT>
<DD>This machine performs the combination. It contains many trainers.
<DL><DT><DD></DL><P>
<A NAME="n_trainers"></A>
<A NAME="DOC.1.2"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>int n_trainers</B></TT>
<DD>The number of trainers in the bagging
<DL><DT><DD></DL><P>
<A NAME="unselected_examples"></A>
<A NAME="DOC.1.3"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>int** unselected_examples</B></TT>
<DD>for each trainer, keep the indices of examples not used during training
<DL><DT><DD></DL><P>
<A NAME="selected_examples"></A>
<A NAME="DOC.1.4"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>int** selected_examples</B></TT>
<DD>for each trainer, keep the indices of examples used during training
<DL><DT><DD></DL><P>
<A NAME="n_unselected_examples"></A>
<A NAME="DOC.1.5"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>int* n_unselected_examples</B></TT>
<DD>for each trainer, keep the number of examples not used during training
<DL><DT><DD></DL><P>
<A NAME="is_selected_examples"></A>
<A NAME="DOC.1.6"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>int* is_selected_examples</B></TT>
<DD>for each trainer, keep the number of examples used during training
<DL><DT><DD></DL><P>
<A NAME="Bagging"></A>
<A NAME="DOC.1.7"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B> Bagging(<!1><A HREF="WeightedSumMachine.html">WeightedSumMachine</A>* w_machine_, <!1><A HREF="DataSet.html">DataSet</A>* data_)</B></TT>
<DL><DT><DD></DL><P>
<A NAME="bootstrapData"></A>
<A NAME="DOC.1.8"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>virtual void bootstrapData(int* selected, int* is_selected)</B></TT>
<DD>create a boostrap of the data and put in in selected
<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)
<DT><B>See Also:</B><DD><!1><A HREF="WeightedSumMachine.html">WeightedSumMachine</A><BR><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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