SHOGUN
v2.0.0
Main Page
Related Pages
Modules
Classes
Files
File List
File Members
All
Classes
Namespaces
Files
Functions
Variables
Typedefs
Enumerations
Enumerator
Friends
Macros
Groups
Pages
src
shogun
latent
LatentSVM.cpp
Go to the documentation of this file.
1
/*
2
* This program is free software; you can redistribute it and/or modify
3
* it under the terms of the GNU General Public License as published by
4
* the Free Software Foundation; either version 3 of the License, or
5
* (at your option) any later version.
6
*
7
* Written (W) 2012 Viktor Gal
8
* Copyright (C) 2012 Viktor Gal
9
*/
10
11
#include <typeinfo>
12
13
#include <
shogun/classifier/svm/SVMOcas.h
>
14
#include <
shogun/latent/LatentSVM.h
>
15
16
using namespace
shogun;
17
18
CLatentSVM::CLatentSVM
()
19
:
CLinearLatentMachine
()
20
{
21
}
22
23
CLatentSVM::CLatentSVM
(
CLatentModel
* model,
float64_t
C)
24
:
CLinearLatentMachine
(model, C)
25
{
26
}
27
28
CLatentSVM::~CLatentSVM
()
29
{
30
}
31
32
CLatentLabels
*
CLatentSVM::apply_latent
()
33
{
34
if
(!
m_model
)
35
SG_ERROR
(
"LatentModel is not set!\n"
);
36
37
if
(!
features
)
38
return
NULL;
39
40
index_t
num_examples =
m_model
->
get_num_vectors
();
41
CLatentLabels
* hs =
new
CLatentLabels
(num_examples);
42
CBinaryLabels
* ys =
new
CBinaryLabels
(num_examples);
43
hs->
set_labels
(ys);
44
m_model
->
set_labels
(hs);
45
46
for
(
index_t
i = 0; i < num_examples; ++i)
47
{
48
/* find h for the example */
49
CData
* h =
m_model
->
infer_latent_variable
(
w
, i);
50
hs->
add_latent_label
(h);
51
}
52
53
/* compute the y labels */
54
CDotFeatures
* x =
m_model
->
get_psi_feature_vectors
();
55
x->
dense_dot_range
(ys->
get_labels
().
vector
, 0, num_examples, NULL,
w
.
vector
,
w
.
vlen
, 0.0);
56
57
return
hs;
58
}
59
60
float64_t
CLatentSVM::do_inner_loop
(
float64_t
cooling_eps)
61
{
62
CLabels
* ys =
m_model
->
get_labels
()->
get_labels
();
63
CSVMOcas
svm(
m_C
,
features
, ys);
64
svm.
set_epsilon
(cooling_eps);
65
svm.
train
();
66
SG_UNREF
(ys);
67
68
/* copy the resulting w */
69
SGVector<float64_t>
cur_w = svm.
get_w
();
70
memcpy(
w
.
vector
, cur_w.
vector
, cur_w.
vlen
*
sizeof
(
float64_t
));
71
72
return
svm.
compute_primal_objective
();
73
}
74
SHOGUN
Machine Learning Toolbox - Documentation