SHOGUN  4.1.0
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Modules Pages
HSIC.h
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 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 #ifndef __HSIC_H_
33 #define __HSIC_H_
34 
35 #include <shogun/lib/config.h>
36 
38 
39 namespace shogun
40 {
41 
42 template<class T> class SGMatrix;
43 
44 
92 {
93 public:
95  CHSIC();
96 
107  CHSIC(CKernel* kernel_p, CKernel* kernel_q, CFeatures* p, CFeatures* q);
108 
110  virtual ~CHSIC();
111 
121  virtual float64_t compute_statistic();
122 
131  virtual float64_t compute_p_value(float64_t statistic);
132 
140  virtual float64_t compute_threshold(float64_t alpha);
141 
143  virtual const char* get_name() const
144  {
145  return "HSIC";
146  }
147 
150  {
151  return S_HSIC;
152  }
153 
158  virtual void set_p(CFeatures* p);
159 
164  virtual void set_q(CFeatures* q);
165 
186 
195 
196 private:
198  void init();
199 
201  index_t m_num_features;
202 
203 };
204 
205 }
206 
207 #endif /* __HSIC_H_ */
int32_t index_t
Definition: common.h:62
virtual void set_p(CFeatures *p)
Definition: HSIC.cpp:280
virtual void set_q(CFeatures *q)
Definition: HSIC.cpp:286
virtual SGVector< float64_t > sample_null()
Definition: HSIC.cpp:236
SGVector< float64_t > fit_null_gamma()
Definition: HSIC.cpp:151
double float64_t
Definition: common.h:50
virtual float64_t compute_p_value(float64_t statistic)
Definition: HSIC.cpp:107
This class implements the Hilbert Schmidtd Independence Criterion based independence test as describe...
Definition: HSIC.h:91
virtual float64_t compute_threshold(float64_t alpha)
Definition: HSIC.cpp:129
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
virtual ~CHSIC()
Definition: HSIC.cpp:60
The class Features is the base class of all feature objects.
Definition: Features.h:68
Kernel independence test base class. Provides an interface for performing an independence test...
virtual const char * get_name() const
Definition: HSIC.h:143
The Kernel base class.
Definition: Kernel.h:158
virtual EStatisticType get_statistic_type() const
Definition: HSIC.h:149
virtual float64_t compute_statistic()
Definition: HSIC.cpp:73

SHOGUN Machine Learning Toolbox - Documentation