This file is indexed.

/usr/include/shogun/converter/EmbeddingConverter.h is in libshogun-dev 1.1.0-4ubuntu2.

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
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
/*
 * 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) 2011 Sergey Lisitsyn
 * Copyright (C) 2011 Sergey Lisitsyn
 */

#ifndef EMBEDDINGCONVERTER_H_
#define EMBEDDINGCONVERTER_H_

#include <shogun/converter/Converter.h>
#include <shogun/features/Features.h>
#include <shogun/features/SimpleFeatures.h>
#include <shogun/distance/Distance.h>
#include <shogun/kernel/Kernel.h>

namespace shogun
{

class CFeatures;
class CDistance;
class CKernel;

/** @brief class EmbeddingConverter used to create embeddings of 
 * features, e.g. construct dense numeric embedding of string features
 */
class CEmbeddingConverter: public CConverter
{
public:

	/** constructor */
	CEmbeddingConverter();

	/** destructor */
	virtual ~CEmbeddingConverter();

	/** applies to the given data, returns embedding
	 * @param features features to embed
	 * @return embedding features
	 */
	virtual CFeatures* apply(CFeatures* features) = 0;

	/** embed given features, acts the same as apply, but returns
	 * SimpleFeatures
	 * @param features features to embed
	 * @return embedding simple features
	 */
	virtual CSimpleFeatures<float64_t>* embed(CFeatures* features);

	/** setter for target dimension
	 * @param dim target dimension
	 */
	void set_target_dim(int32_t dim);

	/** getter for target dimension
	 * @return target dimension
	 */
	int32_t get_target_dim() const;

	/** setter for distance
	 * @param distance distance to set
	 */
	void set_distance(CDistance* distance);

	/** getter for distance
	 * @return distance
	 */
	CDistance* get_distance() const;

	/** setter for kernel
	 * @param kernel kernel to set
	 */
	void set_kernel(CKernel* kernel);

	/** getter for kernel
	 * @return kernel
	 */
	CKernel* get_kernel() const;

	virtual const char* get_name() const { return "EmbeddingConverter"; };

protected:

	/** default init */
	void init();

protected:

	/** target dim of dimensionality reduction preprocessor */
	int32_t m_target_dim;

	/** distance to be used */
	CDistance* m_distance;

	/** kernel to be used */
	CKernel* m_kernel;
};
}

#endif /* DIMENSIONREDUCTIONPREPROCESSOR_H_ */