Classes to collect samples. More...
#include <bsta/bsta_parzen_sphere.h>#include <bsta/bsta_mixture.h>#include <bsta/bsta_attributes.h>#include <bsta/bsta_gaussian_sphere.h>#include <bsta/bsta_gaussian_full.h>#include <vnl/vnl_vector_fixed.h>#include <vnl/vnl_matrix_fixed.h>#include <vcl_fstream.h>#include <vcl_utility.h>#include <vcl_iostream.h>Go to the source code of this file.
Classes | |
| class | bsta_sample_set< T, n > |
| A class to hold samples, the window width parameter, weights for each sample, assignments of each sample to modes/cluster centers/classes. More... | |
Defines | |
| #define | MIN_VAR_ 0.0001 |
Functions | |
| template<class T > | |
| bool | bsta_sample_set_variance (const bsta_sample_set< T, 1 > &set, int mode, T min_var, T &out) |
| compute the variance of a particular assignment in a bsta_sample_set. | |
| template<class T , unsigned n> | |
| bool | bsta_sample_set_variance (const bsta_sample_set< T, n > &set, int mode, vnl_matrix_fixed< T, n, n > &out) |
| compute the variance of a particular assignment in a bsta_sample_set. | |
| template<class T , unsigned n> | |
| bool | bsta_sample_set_marginalize (const bsta_sample_set< T, n > &set, unsigned component, bsta_sample_set< T, 1 > &out_set) |
| compute the marginalized 1D sample set distribution from nD set. | |
| template<class T > | |
| bool | bsta_sample_set_fit_distribution (const bsta_sample_set< T, 1 > &set, bsta_mixture< bsta_num_obs< bsta_gaussian_sphere< T, 1 > > > &out) |
| template<class T , unsigned n> | |
| bool | bsta_sample_set_fit_distribution (const bsta_sample_set< T, n > &set, bsta_mixture< bsta_num_obs< bsta_gaussian_full< T, n > > > &out) |
| template<class T > | |
| T | bsta_sample_set_log_likelihood (const bsta_sample_set< T, 1 > &set, bsta_num_obs< bsta_gaussian_sphere< T, 1 > > &dist, T total_weight) |
| Total weight is used to normalize the weight of the distribution (bsta_num_obs class contains total weight of samples assigned to this distribution) | |
| template<class T , unsigned n> | |
| T | bsta_sample_set_log_likelihood (const bsta_sample_set< T, n > &set, bsta_num_obs< bsta_gaussian_full< T, n > > &dist, T total_weight) |
| Total weight is used to normalize the weight of the distribution (bsta_num_obs class contains total weight of samples assigned to this distribution) | |
| template<class T > | |
| T | bsta_sample_set_log_likelihood (const bsta_sample_set< T, 2 > &set, bsta_num_obs< bsta_gaussian_sphere< T, 1 > > &dist0, T w0, bsta_num_obs< bsta_gaussian_sphere< T, 1 > > &dist1, T w1, T &w_sum) |
| Total weight is used to normalize the weight of the distribution (bsta_num_obs class contains total weight of samples assigned to this distribution) | |
| template<class T > | |
| bool | bsta_sample_set_print_to_m (const bsta_sample_set< T, 2 > &set, vcl_ofstream &of) |
| a specialized matlab file printer for 2D data. | |
| template<class T > | |
| bool | bsta_sample_set_dist_print_to_m (const bsta_sample_set< T, 2 > &set, vcl_ofstream &of) |
| a specialized matlab file printer to visualize printed distribution. | |
| template<class T > | |
| bool | bsta_sample_set_dist_print_to_m (const bsta_sample_set< T, 1 > &set, vcl_ofstream &of) |
| a specialized matlab file printer to visualize printed distribution. | |
Classes to collect samples.
Modifications
(none yet)
Definition in file bsta_sample_set.h.
| #define MIN_VAR_ 0.0001 |
Definition at line 27 of file bsta_sample_set.h.
| bool bsta_sample_set_dist_print_to_m | ( | const bsta_sample_set< T, 2 > & | set, |
| vcl_ofstream & | of | ||
| ) |
a specialized matlab file printer to visualize printed distribution.
Definition at line 405 of file bsta_sample_set.h.
| bool bsta_sample_set_dist_print_to_m | ( | const bsta_sample_set< T, 1 > & | set, |
| vcl_ofstream & | of | ||
| ) |
a specialized matlab file printer to visualize printed distribution.
Definition at line 455 of file bsta_sample_set.h.
| bool bsta_sample_set_fit_distribution | ( | const bsta_sample_set< T, 1 > & | set, |
| bsta_mixture< bsta_num_obs< bsta_gaussian_sphere< T, 1 > > > & | out | ||
| ) |
Definition at line 194 of file bsta_sample_set.h.
| bool bsta_sample_set_fit_distribution | ( | const bsta_sample_set< T, n > & | set, |
| bsta_mixture< bsta_num_obs< bsta_gaussian_full< T, n > > > & | out | ||
| ) |
Definition at line 226 of file bsta_sample_set.h.
| T bsta_sample_set_log_likelihood | ( | const bsta_sample_set< T, 1 > & | set, |
| bsta_num_obs< bsta_gaussian_sphere< T, 1 > > & | dist, | ||
| T | total_weight | ||
| ) |
Total weight is used to normalize the weight of the distribution (bsta_num_obs class contains total weight of samples assigned to this distribution)
Definition at line 261 of file bsta_sample_set.h.
| T bsta_sample_set_log_likelihood | ( | const bsta_sample_set< T, n > & | set, |
| bsta_num_obs< bsta_gaussian_full< T, n > > & | dist, | ||
| T | total_weight | ||
| ) |
Total weight is used to normalize the weight of the distribution (bsta_num_obs class contains total weight of samples assigned to this distribution)
Definition at line 286 of file bsta_sample_set.h.
| T bsta_sample_set_log_likelihood | ( | const bsta_sample_set< T, 2 > & | set, |
| bsta_num_obs< bsta_gaussian_sphere< T, 1 > > & | dist0, | ||
| T | w0, | ||
| bsta_num_obs< bsta_gaussian_sphere< T, 1 > > & | dist1, | ||
| T | w1, | ||
| T & | w_sum | ||
| ) |
Total weight is used to normalize the weight of the distribution (bsta_num_obs class contains total weight of samples assigned to this distribution)
Definition at line 311 of file bsta_sample_set.h.
| bool bsta_sample_set_marginalize | ( | const bsta_sample_set< T, n > & | set, |
| unsigned | component, | ||
| bsta_sample_set< T, 1 > & | out_set | ||
| ) |
compute the marginalized 1D sample set distribution from nD set.
Definition at line 175 of file bsta_sample_set.h.
| bool bsta_sample_set_print_to_m | ( | const bsta_sample_set< T, 2 > & | set, |
| vcl_ofstream & | of | ||
| ) |
a specialized matlab file printer for 2D data.
Definition at line 364 of file bsta_sample_set.h.
| bool bsta_sample_set_variance | ( | const bsta_sample_set< T, 1 > & | set, |
| int | mode, | ||
| T | min_var, | ||
| T & | out | ||
| ) |
compute the variance of a particular assignment in a bsta_sample_set.
Definition at line 98 of file bsta_sample_set.h.
| bool bsta_sample_set_variance | ( | const bsta_sample_set< T, n > & | set, |
| int | mode, | ||
| vnl_matrix_fixed< T, n, n > & | out | ||
| ) |
compute the variance of a particular assignment in a bsta_sample_set.
Definition at line 137 of file bsta_sample_set.h.
1.7.5.1