SHOGUN  6.0.0
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Modules
TwoSampleTest.cpp
Go to the documentation of this file.
1 /*
2  * Copyright (c) The Shogun Machine Learning Toolbox
3  * Written (w) 2012 - 2013 Heiko Strathmann
4  * Written (w) 2014 - 2017 Soumyajit De
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 #include <shogun/kernel/Kernel.h>
36 
37 using namespace shogun;
38 using namespace internal;
39 
41 {
42  Self(index_t num_kernels);
43  KernelManager kernel_mgr;
44 };
45 
46 CTwoSampleTest::Self::Self(index_t num_kernels) : kernel_mgr(num_kernels)
47 {
48 }
49 
50 CTwoSampleTest::CTwoSampleTest() : CTwoDistributionTest()
51 {
52  self=std::unique_ptr<Self>(new Self(TwoSampleTest::num_kernels));
53 }
54 
56 {
57  self=std::unique_ptr<Self>(new Self(TwoSampleTest::num_kernels));
58  set_p(samples_from_p);
59  set_q(samples_from_q);
60 }
61 
63 {
64 }
65 
67 {
68  REQUIRE(kernel, "Kernel cannot be NULL!\n");
69  self->kernel_mgr.kernel_at(0)=kernel;
70  self->kernel_mgr.restore_kernel_at(0);
71 }
72 
74 {
75  return get_kernel_mgr().kernel_at(0);
76 }
77 
78 const char* CTwoSampleTest::get_name() const
79 {
80  return "TwoSampleTest";
81 }
82 
84 {
85  return self->kernel_mgr;
86 }
87 
88 const KernelManager& CTwoSampleTest::get_kernel_mgr() const
89 {
90  return self->kernel_mgr;
91 }
int32_t index_t
Definition: common.h:72
#define REQUIRE(x,...)
Definition: SGIO.h:205
virtual const char * get_name() const
virtual void set_p(CFeatures *samples_from_p)
virtual void set_q(CFeatures *samples_from_q)
Class TwoDistributionTest is the base class for the statistical hypothesis testing with samples from ...
internal::KernelManager & get_kernel_mgr()
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
The class Features is the base class of all feature objects.
Definition: Features.h:68
Self(index_t num_kernels)
CKernel * get_kernel() const
The Kernel base class.
virtual void set_kernel(CKernel *kernel)

SHOGUN Machine Learning Toolbox - Documentation