SHOGUN  6.0.0
modules/SpecialPurpose.h
Go to the documentation of this file.
1 /*
2  * Copyright (c) The Shogun Machine Learning Toolbox
3  * Written (w) 2014 Soumyajit De
4  * Written (w) 2014 Khaled Nasr
5  * All rights reserved.
6  *
7  * Redistribution and use in source and binary forms, with or without
8  * modification, are permitted provided that the following conditions are met:
9  *
10  * 1. Redistributions of source code must retain the above copyright notice, this
11  * list of conditions and the following disclaimer.
12  * 2. Redistributions in binary form must reproduce the above copyright notice,
13  * this list of conditions and the following disclaimer in the documentation
14  * and/or other materials provided with the distribution.
15  *
16  * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
17  * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
18  * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
19  * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
20  * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
21  * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
22  * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
23  * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
24  * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
25  * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
26  *
27  * The views and conclusions contained in the software and documentation are those
28  * of the authors and should not be interpreted as representing official policies,
29  * either expressed or implied, of the Shogun Development Team.
30  */
31 
32 #ifndef SPECIAL_PURPOSE_H_
33 #define SPECIAL_PURPOSE_H_
34 
36 
37 namespace shogun
38 {
39 
40 namespace linalg
41 {
42 
46 namespace special_purpose
47 {
48 
50 template <Backend backend=linalg_traits<Linsolver>::backend,class Matrix>
51 void logistic(Matrix A, Matrix result)
52 {
54 }
55 
57 template <Backend backend=linalg_traits<Linsolver>::backend,class Matrix>
58 void multiply_by_logistic_derivative(Matrix A, Matrix C)
59 {
61 }
62 
64 template <Backend backend=linalg_traits<Linsolver>::backend,class Matrix>
65 void rectified_linear(Matrix A, Matrix result)
66 {
68 }
69 
71 template <Backend backend=linalg_traits<Linsolver>::backend,class Matrix>
73 {
75 }
76 
80 template <Backend backend=linalg_traits<Linsolver>::backend,class Matrix>
81 void softmax(Matrix A)
82 {
84 }
85 
89 template <Backend backend=linalg_traits<Linsolver>::backend,class Matrix>
90 typename Matrix::Scalar cross_entropy(Matrix P, Matrix Q)
91 {
93 }
94 
98 template <Backend backend=linalg_traits<Linsolver>::backend,class Matrix>
99 typename Matrix::Scalar squared_error(Matrix P, Matrix Q)
100 {
102 }
103 
104 }
105 
106 }
107 
108 }
109 #endif // SPECIAL_PURPOSE_H_
Matrix::Scalar squared_error(Matrix P, Matrix Q)
void logistic(Matrix A, Matrix result)
void multiply_by_logistic_derivative(Matrix A, Matrix C)
void rectified_linear(Matrix A, Matrix result)
static void compute(Matrix A, Matrix result)
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
Matrix::Scalar cross_entropy(Matrix P, Matrix Q)
void multiply_by_rectified_linear_derivative(Matrix A, Matrix C)

SHOGUN Machine Learning Toolbox - Documentation