/usr/include/shogun/io/StreamingFileFromSparseFeatures.h is in libshogun-dev 1.1.0-4ubuntu2.
This file is owned by root:root, with mode 0o644.
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* 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 Shashwat Lal Das
* Copyright (C) 2011 Berlin Institute of Technology and Max-Planck-Society
*/
#ifndef __STREAMING_FILEFROMSPARSE_H__
#define __STREAMING_FILEFROMSPARSE_H__
#include <shogun/io/StreamingFileFromFeatures.h>
#include <shogun/features/SparseFeatures.h>
namespace shogun
{
/** @brief Class CStreamingFileFromSparseFeatures is derived from CStreamingFile
* and provides an input source for the online framework. It uses an existing
* CSparseFeatures object to generate online examples.
*/
template <class T> class CStreamingFileFromSparseFeatures: public CStreamingFileFromFeatures
{
public:
/**
* Default constructor
*/
CStreamingFileFromSparseFeatures();
/**
* Constructor taking a SparseFeatures object as arg
*
* @param feat SparseFeatures object
*/
CStreamingFileFromSparseFeatures(CSparseFeatures<T>* feat);
/**
* Constructor taking a SparseFeatures object as arg
*
* @param feat SparseFeatures object
* @param lab Labels as float64_t*
*/
CStreamingFileFromSparseFeatures(CSparseFeatures<T>* feat, float64_t* lab);
/**
* Destructor
*/
virtual ~CStreamingFileFromSparseFeatures();
/**
* This function will be called for reading vectors from the
* corresponding SparseFeatures object.
* It is specialized depending on class type T.
*
* @param vec vector
* @param len length of vector
*/
virtual void get_sparse_vector(SGSparseVectorEntry<T>* &vec, int32_t &len);
/**
* This function will be called for reading vectors and labels
* from the corresponding SparseFeatures object. It is
* specialized depending on class type T.
*
* @param vec vector
* @param len length of vector
* @param label label
*/
virtual void get_sparse_vector_and_label(SGSparseVectorEntry<T>* &vec, int32_t &len, float64_t &label);
/**
* Reset the stream so the next example returned is the first
* example in the SparseFeatures object.
*
*/
void reset_stream()
{
vector_num = 0;
}
/** @return object name */
inline virtual const char* get_name() const
{
return "StreamingFileFromSparseFeatures";
}
private:
/**
* Initialize members to defaults
*/
void init();
protected:
/// SparseFeatures object
CSparseFeatures<T>* features;
/// Index of vector to be returned from the feature matrix
int32_t vector_num;
};
template <class T>
CStreamingFileFromSparseFeatures<T>::CStreamingFileFromSparseFeatures()
: CStreamingFileFromFeatures()
{
init();
}
template <class T>
CStreamingFileFromSparseFeatures<T>::CStreamingFileFromSparseFeatures(CSparseFeatures<T>* feat)
: CStreamingFileFromFeatures(feat)
{
init();
}
template <class T>
CStreamingFileFromSparseFeatures<T>::CStreamingFileFromSparseFeatures(CSparseFeatures<T>* feat, float64_t* lab)
: CStreamingFileFromFeatures(feat,lab)
{
init();
}
template <class T>
CStreamingFileFromSparseFeatures<T>::~CStreamingFileFromSparseFeatures()
{
}
template <class T>
void CStreamingFileFromSparseFeatures<T>::init()
{
vector_num=0;
}
/* Functions to return the vector from the SparseFeatures object */
template <class T>
void CStreamingFileFromSparseFeatures<T>::get_sparse_vector
(SGSparseVectorEntry<T>*& vector, int32_t& len)
{
if (vector_num >= features->get_num_vectors())
{
vector=NULL;
len=-1;
return;
}
SGSparseVector<T> vec=
((CSparseFeatures<T>*)this)->get_sparse_feature_vector(vector_num);
vector=vec.features;
len=vec.num_feat_entries;
/* TODO. check if vector needs to be freed? */
vector_num++;
}
/* Functions to return the vector from the SparseFeatures object */
template <class T>
void CStreamingFileFromSparseFeatures<T>::get_sparse_vector_and_label
(SGSparseVectorEntry<T>*& vector, int32_t& len, float64_t& label)
{
get_sparse_vector(vector, len);
label=labels[vector_num];
}
}
#endif //__STREAMING_FILEFROMSPARSE_H__
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