AbstractMetric.h
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1//===========================================================================
2/*!
3 *
4 *
5 * \brief abstract super class of all metrics
6 *
7 *
8 *
9 * \author O. Krause
10 * \date 2015
11 *
12 *
13 * \par Copyright 1995-2017 Shark Development Team
14 *
15 * <BR><HR>
16 * This file is part of Shark.
17 * <https://shark-ml.github.io/Shark/>
18 *
19 * Shark is free software: you can redistribute it and/or modify
20 * it under the terms of the GNU Lesser General Public License as published
21 * by the Free Software Foundation, either version 3 of the License, or
22 * (at your option) any later version.
23 *
24 * Shark is distributed in the hope that it will be useful,
25 * but WITHOUT ANY WARRANTY; without even the implied warranty of
26 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
27 * GNU Lesser General Public License for more details.
28 *
29 * You should have received a copy of the GNU Lesser General Public License
30 * along with Shark. If not, see <http://www.gnu.org/licenses/>.
31 *
32 */
33//===========================================================================
34
35#ifndef SHARK_MODELS_KERNELS_ABSTRACTMETRIC_H
36#define SHARK_MODELS_KERNELS_ABSTRACTMETRIC_H
37
43namespace shark {
44
45/// \brief Base-class for metrics.
46///
47/// A metric is a distance measure between objects. All kernels in shark define metrics.
48/// \ingroup kernels
49template<class InputTypeT>
51public:
52 /// \brief Input type of the Kernel.
53 typedef InputTypeT InputType;
54 /// \brief batch input type of the kernel
56 /// \brief Const references to InputType
57 typedef typename ConstProxyReference<InputType const>::type ConstInputReference;
58 /// \brief Const references to BatchInputType
59 typedef typename ConstProxyReference<BatchInputType const>::type ConstBatchInputReference;
60
62 virtual ~AbstractMetric() { }
63
64 /// \brief From ISerializable, reads a metric from an archive.
65 virtual void read( InArchive & archive ){
66 RealVector p;
67 archive & p;
69 }
70
71 /// \brief From ISerializable, writes a metric to an archive.
72 ///
73 /// The default implementation just saves the parameters.
74 virtual void write( OutArchive & archive ) const{
75 RealVector p = parameterVector();
76 archive & p;
77 }
78
79 /// Computes the squared distance in the kernel induced feature space.
81
82 virtual RealMatrix featureDistanceSqr(
85 ) const = 0;
86
87
88 /// \brief Computes the distance in the kernel induced feature space.
90 return std::sqrt(featureDistanceSqr(x1, x2));
91 }
92};
93}
94#endif