File: BayesClassifier.html

package info (click to toggle)
torch 2-1
  • links: PTS
  • area: main
  • in suites: woody
  • size: 5,488 kB
  • ctags: 3,217
  • sloc: cpp: 14,272; makefile: 201
file content (138 lines) | stat: -rw-r--r-- 6,507 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">

<HTML>
<HEAD>
   <TITLE>class  BayesClassifier</TITLE>
   <META NAME="GENERATOR" CONTENT="DOC++ 3.4.8">
</HEAD>
<BODY BGCOLOR="#ffffff">

<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>
<HR>

<DL>
<P><DL>
<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>
<DT>
<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>
<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>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>
<BR>
This page was generated with the help of <A HREF="http://docpp.sourceforge.net">DOC++</A>.
</BODY>
</HTML>