Alexandria
2.18
Please provide a description of the project.
Main Page
Related Pages
Namespaces
Classes
Files
File List
File Members
All
Classes
Namespaces
Files
Functions
Variables
Typedefs
Enumerations
Enumerator
Friends
Macros
Groups
Pages
SOM
SOM
LearningRestraintFunc.h
Go to the documentation of this file.
1
/*
2
* Copyright (C) 2012-2021 Euclid Science Ground Segment
3
*
4
* This library is free software; you can redistribute it and/or modify it under
5
* the terms of the GNU Lesser General Public License as published by the Free
6
* Software Foundation; either version 3.0 of the License, or (at your option)
7
* any later version.
8
*
9
* This library is distributed in the hope that it will be useful, but WITHOUT
10
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
11
* FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
12
* details.
13
*
14
* You should have received a copy of the GNU Lesser General Public License
15
* along with this library; if not, write to the Free Software Foundation, Inc.,
16
* 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
17
*/
18
19
/*
20
* @file LearningRestraintFunc.h
21
* @author nikoapos
22
*/
23
24
#ifndef SOM_LEARNINGRESTRAINTFUNC_H
25
#define SOM_LEARNINGRESTRAINTFUNC_H
26
27
#include <cmath>
28
#include <functional>
29
30
namespace
Euclid {
31
namespace
SOM {
32
namespace
LearningRestraintFunc {
33
34
using
Signature
=
std::function<double(std::size_t iteration, std::size_t total_iterations)>
;
35
36
Signature
linear
() {
37
return
[](
std::size_t
iteration,
std::size_t
total_iterations) ->
double
{
38
return
1.0 * (total_iterations - iteration) / total_iterations;
39
};
40
}
41
42
Signature
exponentialDecay
(
double
initial_rate) {
43
return
[initial_rate](
std::size_t
iteration,
std::size_t
total_iterations) ->
double
{
44
return
initial_rate *
std::exp
(-1. * iteration / total_iterations);
45
};
46
}
47
48
}
// namespace LearningRestraintFunc
49
}
// namespace SOM
50
}
// namespace Euclid
51
52
#endif
/* SOM_LEARNINGRESTRAINTFUNC_H */
std::function< double(std::size_t iteration, std::size_t total_iterations)>
std::exp
T exp(T...args)
Euclid::SOM::LearningRestraintFunc::exponentialDecay
Signature exponentialDecay(double initial_rate)
Definition:
LearningRestraintFunc.h:42
std::size_t
Euclid::SOM::LearningRestraintFunc::linear
Signature linear()
Definition:
LearningRestraintFunc.h:36
Generated by
1.8.5