/usr/include/shogun/preprocessor/LogPlusOne.h is in libshogun-dev 3.2.0-7.3build4.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | /*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* Written (W) 1999-2009 Soeren Sonnenburg
* Copyright (C) 1999-2009 Fraunhofer Institute FIRST and Max-Planck-Society
*/
#ifndef _CLOGPLUSONE__H__
#define _CLOGPLUSONE__H__
#include <shogun/preprocessor/DensePreprocessor.h>
#include <shogun/features/Features.h>
#include <shogun/lib/common.h>
#include <stdio.h>
namespace shogun
{
/** @brief Preprocessor LogPlusOne does what the name says, it adds one to a dense
* real valued vector and takes the logarithm of each component of it.
*
* \f[
* {\bf x}\leftarrow \log({\bf x}+{\bf 1})
* \f]
* It therefore does not need any initialization. It is most useful in
* situations where the inputs are counts: When one compares differences of
* small counts any difference may matter a lot, while small differences in
* large counts don't. This is what this log transformation controls for.
*/
class CLogPlusOne : public CDensePreprocessor<float64_t>
{
public:
/** default constructor */
CLogPlusOne();
/** destructor */
virtual ~CLogPlusOne();
/// initialize preprocessor from features
virtual bool init(CFeatures* features);
/// cleanup
virtual void cleanup();
/// initialize preprocessor from file
virtual bool load(FILE* f);
/// save preprocessor init-data to file
virtual bool save(FILE* f);
/// apply preproc on feature matrix
/// result in feature matrix
/// return pointer to feature_matrix, i.e. f->get_feature_matrix();
virtual SGMatrix<float64_t> apply_to_feature_matrix(CFeatures* features);
/// apply preproc on single feature vector
/// result in feature matrix
virtual SGVector<float64_t> apply_to_feature_vector(SGVector<float64_t> vector);
/** @return object name */
virtual const char* get_name() const { return "LogPlusOne"; }
/// return a type of preprocessor
virtual EPreprocessorType get_type() const { return P_LOGPLUSONE; }
};
}
#endif
|