DataFeeder Class Reference

Feed (random splitted) training and testing data. More...

#include <datafeeder.h>

Collaboration diagram for DataFeeder:

[legend]List of all members.

Public Types
enum	NORMETHOD { MIN_MAX, MEAN_VAR, NONE }
Public Member Functions
	DataFeeder (const pDataSet &)
	DataFeeder (std::istream &)
void	set_permutation (std::istream &i)
void	do_normalize (NORMETHOD dn=MIN_MAX)
UINT	size () const
UINT	train_size () const
	the size of the training set
void	set_train_size (UINT)
	set the size of the training set
REAL	train_noise () const
	the artificial flipping noise level for the training set
void	set_train_noise (REAL)
	set the artificial flipping noise level for the training set
pDataSet	data () const
bool	next_train_test (pDataSet &, pDataSet &) const
Protected Types
typedef std::vector< LINEAR_SCALE_PARAM >	LINEAR_SCALE_PARAMS
Protected Member Functions
bool	next_permutation (std::vector< UINT > &) const
Static Protected Member Functions
static LINEAR_SCALE_PARAMS	min_max (DataSet &)
static LINEAR_SCALE_PARAMS	mean_var (DataSet &)
static void	linear_scale (DataSet &, const LINEAR_SCALE_PARAMS &)
Classes
struct	LINEAR_SCALE_PARAM

---

Detailed Description

Feed (random splitted) training and testing data.

Definition at line 18 of file datafeeder.h.

---

Member Typedef Documentation

typedef std::vector<LINEAR_SCALE_PARAM> LINEAR_SCALE_PARAMS [protected]

Definition at line 58 of file datafeeder.h.

---

Member Enumeration Documentation

enum NORMETHOD

Enumerator: MIN_MAX  MEAN_VAR  NONE  Definition at line 20 of file datafeeder.h.

---

Constructor & Destructor Documentation

DataFeeder (  const pDataSet &   )

Definition at line 13 of file datafeeder.cpp.

DataFeeder (  std::istream &   )

Definition at line 18 of file datafeeder.cpp. References lemga::load_data().

---

Member Function Documentation

pDataSet data (   )  const [inline]

Definition at line 49 of file datafeeder.h.

void do_normalize (  NORMETHOD  dn = MIN_MAX  )  [inline]

Definition at line 38 of file datafeeder.h.

void linear_scale (  DataSet &  , const LINEAR_SCALE_PARAMS &  )  [static, protected]

Definition at line 153 of file datafeeder.cpp. References dataset::replace(), dataset::size(), dataset::x(), and dataset::y().

DataFeeder::LINEAR_SCALE_PARAMS mean_var (  DataSet &   )  [static, protected]

Definition at line 127 of file datafeeder.cpp. References dataset::size(), and dataset::x().

DataFeeder::LINEAR_SCALE_PARAMS min_max (  DataSet &   )  [static, protected]

Definition at line 100 of file datafeeder.cpp. References dataset::size(), and dataset::x().

bool next_permutation (  std::vector< UINT > &   )  const [protected]

Definition at line 71 of file datafeeder.cpp. Referenced by DataFeeder::next_train_test().

bool next_train_test (  pDataSet &  , pDataSet &  )  const

Definition at line 35 of file datafeeder.cpp. References dataset::append(), INFINITESIMAL, DataFeeder::next_permutation(), and randu.

void set_permutation (  std::istream &  i  )  [inline]

Definition at line 37 of file datafeeder.h.

void set_train_noise (  REAL   )

set the artificial flipping noise level for the training set Definition at line 30 of file datafeeder.cpp.

void set_train_size (  UINT   )

set the size of the training set Definition at line 25 of file datafeeder.cpp.

UINT size (   )  const [inline]

Definition at line 39 of file datafeeder.h.

REAL train_noise (   )  const [inline]

the artificial flipping noise level for the training set Definition at line 45 of file datafeeder.h.

UINT train_size (   )  const [inline]

the size of the training set Definition at line 41 of file datafeeder.h.

---

The documentation for this class was generated from the following files:

• datafeeder.h
• datafeeder.cpp

---