Simple quadratic term used to regularise functions. More...
#include <clsfy_logit_loss_function.h>
Public Member Functions | |
| clsfy_quad_regulariser (double alpha=1e-6) | |
| virtual double | f (vnl_vector< double > const &v) |
| The main function: Compute f(v). | |
| virtual void | gradf (vnl_vector< double > const &v, vnl_vector< double > &gradient) |
| Calculate the gradient of f at parameter vector v. | |
| 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 | |
| double | alpha_ |
| Scaling factor. | |
Detailed Description
Simple quadratic term used to regularise functions.
For vector v' = (b w') (ie b=y[0], w=(y[1]...y[n])), computes f(v) = alpha*|w|^2 (ie ignores first element, which is bias of linear classifier)
Definition at line 56 of file clsfy_logit_loss_function.h.
Constructor & Destructor Documentation
| clsfy_quad_regulariser::clsfy_quad_regulariser | ( | double | alpha = 1e-6 | ) |
Definition at line 122 of file clsfy_logit_loss_function.cxx.
Member Function Documentation
| double clsfy_quad_regulariser::f | ( | vnl_vector< double > const & | v | ) | [virtual] |
The main function: Compute f(v).
Reimplemented from vnl_cost_function.
Definition at line 128 of file clsfy_logit_loss_function.cxx.
| void clsfy_quad_regulariser::gradf | ( | vnl_vector< double > const & | v, |
| vnl_vector< double > & | gradient | ||
| ) | [virtual] |
Calculate the gradient of f at parameter vector v.
Reimplemented from vnl_cost_function.
Definition at line 136 of file clsfy_logit_loss_function.cxx.
Member Data Documentation
double clsfy_quad_regulariser::alpha_ [private] |
Scaling factor.
Definition at line 60 of file clsfy_logit_loss_function.h.
The documentation for this class was generated from the following files:
- contrib/mul/clsfy/clsfy_logit_loss_function.h
- contrib/mul/clsfy/clsfy_logit_loss_function.cxx
