clsfy_binary_hyperplane_gmrho_builder_helpers::gmrho_sum

clsfy_binary_hyperplane_gmrho_builder_helpers::gmrho_sum Class Reference

Inheritance diagram for clsfy_binary_hyperplane_gmrho_builder_helpers::gmrho_sum:

Detailed Description

The cost function, sum Geman-McClure error functions over all training examples.

Definition at line 26 of file clsfy_binary_hyperplane_gmrho_builder.cxx.


Public Member Functions
	gmrho_sum (const vnl_matrix< double > &x, const vnl_vector< double > &y, double sigma=1)
	construct passing in reference to data matrix.
void	set_sigma (double sigma)
	reset the scaling factor.
virtual double	f (vnl_vector< double > const &w)
	The main function. Given the vector of weights parameters vector , compute the value of f(x).
virtual void	gradf (vnl_vector< double > const &x, vnl_vector< double > &gradient)
	Calculate the gradient of f at parameter vector x.
vnl_vector< double >	gradf (vnl_vector< double > const &x)
virtual void	compute (vnl_vector< double > const &x, double f, vnl_vector< double > g)
int	get_number_of_unknowns () const
void	fdgradf (vnl_vector< double > const &x, vnl_vector< double > &gradient, double stepsize=1e-5)
vnl_vector< double >	fdgradf (vnl_vector< double > const &x)
virtual double	reported_error (double f_value)
virtual double	get_range_min () const
virtual double	get_range_max () const
virtual vnl_unary_function< double, vnl_vector< double > > *	Copy () const
Public Attributes
int	dim
Protected Member Functions
void	set_number_of_unknowns (int number_of_unknowns)
Private Attributes
const vnl_matrix< double > &	x_
	Reference to data matrix, one row per training example.
const vnl_vector< double > &	y_
	Reference to required outputs.
double	sigma_
	Scale factor used in Geman-McClure error function.
double	var_
	sigma squared.
unsigned	num_examples_
	Number of training examples (x_.rows()).
unsigned	num_vars_
	Number of dimensions (x_.cols()).
double	alpha_
	var_/(1+var_)^2 - ensures continuity of derivative at hyperplane boundary.
double	beta_
	1/(1+var_)^2 - with alpha, ensures continuity of function at hyperplane boundary.

Constructor & Destructor Documentation

clsfy_binary_hyperplane_gmrho_builder_helpers::gmrho_sum::gmrho_sum	(	const vnl_matrix< double > &	x,
		const vnl_vector< double > &	y,
		double	sigma = `1`
	)

construct passing in reference to data matrix.

This returns a geman-mcclure robust function if the point is correctly classified Otherwise the squared error is returned, with coefficient and offset to ensure continuity and smoothness at the join

Definition at line 329 of file clsfy_binary_hyperplane_gmrho_builder.cxx.