FT::Dat::DataRef Class Reference

#include <data.h>

Collaboration diagram for FT::Dat::DataRef:

Public Member Functions
	DataRef ()
	~DataRef ()
	DataRef (MatrixXf &X, VectorXf &y, LongData &Z, bool c=false, vector< bool > protect=vector< bool >())
void	init (MatrixXf &X, VectorXf &y, LongData &Z, bool c=false, vector< bool > protect=vector< bool >())
void	setOriginalData (MatrixXf &X, VectorXf &y, LongData &Z, bool c=false, vector< bool > protect=vector< bool >())
void	setOriginalData (Data *d)
void	setTrainingData (MatrixXf &X_t, VectorXf &y_t, LongData &Z_t, bool c=false, vector< bool > protect=vector< bool >())
void	setTrainingData (Data *d, bool toDelete=false)
void	setValidationData (MatrixXf &X_v, VectorXf &y_v, LongData &Z_v, bool c=false, vector< bool > protect=vector< bool >())
void	setValidationData (Data *d)
void	shuffle_data ()
	shuffles original data More...
void	split_stratified (float split)
	split classification data as stratas More...
void	train_test_split (bool shuffle, float split)
	splits data into training and validation folds. More...
void	split_longitudinal (LongData &Z, LongData &Z_t, LongData &Z_v, float split)
void	reorder_longitudinal (vector< ArrayXf > &vec1, const vector< int > &order)
	reordering utility for shuffling longitudinal data. More...

Public Attributes
Data *	o = NULL
Data *	v = NULL
Data *	t = NULL

Private Attributes
bool	oCreated
bool	tCreated
bool	vCreated
MatrixXf	X_t
MatrixXf	X_v
VectorXf	y_t
VectorXf	y_v
LongData	Z_t
LongData	Z_v
bool	classification

Detailed Description

Definition at line 73 of file data.h.

Constructor & Destructor Documentation

DataRef() [1/2]

FT::Dat::DataRef::DataRef

(

)

Definition at line 114 of file data.cc.

~DataRef()

FT::Dat::DataRef::~DataRef

(

)

Definition at line 145 of file data.cc.

DataRef() [2/2]

FT::Dat::DataRef::DataRef	(	MatrixXf &	X,
		VectorXf &	y,
		LongData &	Z,
		bool	c = false,
		vector< bool >	protect = vector<bool>()
	)

Definition at line 121 of file data.cc.

Member Function Documentation

init()

void FT::Dat::DataRef::init	(	MatrixXf &	X,
		VectorXf &	y,
		LongData &	Z,
		bool	c = false,
		vector< bool >	protect = vector<bool>()
	)

Definition at line 127 of file data.cc.

reorder_longitudinal()

void FT::Dat::DataRef::reorder_longitudinal	(	vector< ArrayXf > &	vec1,
		const vector< int > &	order
	)

reordering utility for shuffling longitudinal data.

Definition at line 432 of file data.cc.

setOriginalData() [1/2]

void FT::Dat::DataRef::setOriginalData

(

Data *

d

)

Definition at line 181 of file data.cc.

setOriginalData() [2/2]

void FT::Dat::DataRef::setOriginalData	(	MatrixXf &	X,
		VectorXf &	y,
		LongData &	Z,
		bool	c = false,
		vector< bool >	protect = vector<bool>()
	)

Definition at line 166 of file data.cc.

setTrainingData() [1/2]

void FT::Dat::DataRef::setTrainingData	(	Data *	d,
		bool	toDelete = false
	)

Definition at line 205 of file data.cc.

setTrainingData() [2/2]

void FT::Dat::DataRef::setTrainingData	(	MatrixXf &	X_t,
		VectorXf &	y_t,
		LongData &	Z_t,
		bool	c = false,
		vector< bool >	protect = vector<bool>()
	)

Definition at line 195 of file data.cc.

setValidationData() [1/2]

void FT::Dat::DataRef::setValidationData

(

Data *

d

)

Definition at line 222 of file data.cc.

setValidationData() [2/2]

void FT::Dat::DataRef::setValidationData	(	MatrixXf &	X_v,
		VectorXf &	y_v,
		LongData &	Z_v,
		bool	c = false,
		vector< bool >	protect = vector<bool>()
	)

Definition at line 214 of file data.cc.

shuffle_data()

void FT::Dat::DataRef::shuffle_data

(

)

shuffles original data

Definition at line 228 of file data.cc.

split_longitudinal()

void FT::Dat::DataRef::split_longitudinal	(	LongData &	Z,
		LongData &	Z_t,
		LongData &	Z_v,
		float	split
	)

Definition at line 401 of file data.cc.

split_stratified()

void FT::Dat::DataRef::split_stratified

(

float

split

)

split classification data as stratas

Definition at line 272 of file data.cc.

train_test_split()

void FT::Dat::DataRef::train_test_split	(	bool	shuffle,
		float	split
	)

splits data into training and validation folds.

Definition at line 362 of file data.cc.

Member Data Documentation

classification

bool FT::Dat::DataRef::classification

private

Definition at line 87 of file data.h.

o

Data* FT::Dat::DataRef::o = NULL

Definition at line 91 of file data.h.

oCreated

bool FT::Dat::DataRef::oCreated

private

Definition at line 76 of file data.h.

t

Data* FT::Dat::DataRef::t = NULL

Definition at line 93 of file data.h.

tCreated

bool FT::Dat::DataRef::tCreated

private

Definition at line 77 of file data.h.

v

Data* FT::Dat::DataRef::v = NULL

Definition at line 92 of file data.h.

vCreated

bool FT::Dat::DataRef::vCreated

private

Definition at line 78 of file data.h.

X_t

MatrixXf FT::Dat::DataRef::X_t

private

Definition at line 80 of file data.h.

X_v

MatrixXf FT::Dat::DataRef::X_v

private

Definition at line 81 of file data.h.

y_t

VectorXf FT::Dat::DataRef::y_t

private

Definition at line 82 of file data.h.

y_v

VectorXf FT::Dat::DataRef::y_v

private

Definition at line 83 of file data.h.

Z_t

LongData FT::Dat::DataRef::Z_t

private

Definition at line 84 of file data.h.

Z_v

LongData FT::Dat::DataRef::Z_v

private

Definition at line 85 of file data.h.

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

• data.h
• data.cc