#include <iostream>
#include <stdexcept>
#include <cmath>
#include <iCub/learningMachine/RLSLearner.h>
#include <iCub/learningMachine/RandomFeature.h>
#include <yarp/sig/Vector.h>
#include <yarp/os/Property.h>
#include <yarp/math/Math.h>
#include <yarp/math/Rand.h>

Include dependency graph for lmlibindirect.cpp:

Macros
#define	MIN(a, b) ((a < b) ? a : b)

#define	NO_TRAIN 1000

#define	NO_TEST 1000

#define	NOISE_MIN -0.05

#define	NOISE_MAX 0.05

Functions
double	cross (double x1, double x2)

double	sin2d (double x1, double x2)

void	elementProd (const Vector &v1, Vector &v2)

Vector	elementDiv (const Vector &v, double d)

std::pair< Vector, Vector >	createSample ()

int	main (int argc, char **argv)

Macro Definition Documentation

◆ MIN

#define MIN	(	a,
		b
	)	((a < b) ? a : b)

Definition at line 17 of file lmlibindirect.cpp.

◆ NO_TEST

#define NO_TEST 1000

Definition at line 20 of file lmlibindirect.cpp.

◆ NO_TRAIN

#define NO_TRAIN 1000

Definition at line 19 of file lmlibindirect.cpp.

◆ NOISE_MAX

#define NOISE_MAX 0.05

Definition at line 22 of file lmlibindirect.cpp.

◆ NOISE_MIN

#define NOISE_MIN -0.05

Definition at line 21 of file lmlibindirect.cpp.

Function Documentation

◆ createSample()

std::pair<Vector, Vector> createSample ( )

Definition at line 59 of file lmlibindirect.cpp.

◆ cross()

double cross	(	double	x1,
		double	x2
	)

Definition at line 31 of file lmlibindirect.cpp.

◆ elementDiv()

Vector elementDiv	(	const Vector &	v,
		double	d
	)

Definition at line 50 of file lmlibindirect.cpp.

◆ elementProd()

void elementProd	(	const Vector &	v1,
		Vector &	v2
	)

Definition at line 44 of file lmlibindirect.cpp.

◆ main()

int main	(	int	argc,
		char **	argv
	)

Definition at line 83 of file lmlibindirect.cpp.

◆ sin2d()

double sin2d	(	double	x1,
		double	x2
	)

Definition at line 40 of file lmlibindirect.cpp.

Macros

Functions