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
void	set_train_size (UINT)
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

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Detailed Description

Feed (random splitted) training and testing data.

Definition at line 18 of file datafeeder.h.

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Member Typedef Documentation

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

Definition at line 50 of file datafeeder.h.

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Member Enumeration Documentation

enum NORMETHOD

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

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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().

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Member Function Documentation

pDataSet data (   )  const [inline]

Definition at line 41 of file datafeeder.h.

void do_normalize (  NORMETHOD  dn = MIN_MAX  )  [inline]

Definition at line 37 of file datafeeder.h.

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

Definition at line 139 of file datafeeder.cpp. References dataset::replace(), dataset::size(), dataset::x(), and dataset::y(). Referenced by DataFeeder::next_train_test().

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

Definition at line 113 of file datafeeder.cpp. References dataset::size(), and dataset::x(). Referenced by DataFeeder::next_train_test().

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

Definition at line 86 of file datafeeder.cpp. References dataset::size(), and dataset::x(). Referenced by DataFeeder::next_train_test().

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

Definition at line 57 of file datafeeder.cpp. Referenced by DataFeeder::next_train_test().

bool next_train_test (  pDataSet &  , pDataSet &  )  const

Definition at line 30 of file datafeeder.cpp. References dataset::append(), DataFeeder::linear_scale(), DataFeeder::mean_var(), DataFeeder::MEAN_VAR, DataFeeder::min_max(), DataFeeder::MIN_MAX, DataFeeder::next_permutation(), and DataFeeder::NONE.

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

Definition at line 36 of file datafeeder.h.

void set_train_size (  UINT   )

Definition at line 25 of file datafeeder.cpp.

UINT size (   )  const [inline]

Definition at line 38 of file datafeeder.h.

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

• datafeeder.h
• datafeeder.cpp

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