1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
|
/*
* Errorrate.cpp
*
* Created on: Jan 22, 2015
* Author: Quentin Marcou
*
* This source code is distributed as part of the IGoR software.
* IGoR (Inference and Generation of Repertoires) is a versatile software to analyze and model immune receptors
* generation, selection, mutation and all other processes.
* Copyright (C) 2017 Quentin Marcou
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
#include "Errorrate.h"
using namespace std;
Error_rate::Error_rate(): debug_number_scenarios(0), model_log_likelihood(0) , number_seq(0) , seq_likelihood(0) , seq_mean_error_number(0) , seq_probability(0) , updated(true) {
// TODO Auto-generated constructor stub
this->max_err = 0;
this->max_noerr = 0;
}
Error_rate::~Error_rate() {
// TODO Auto-generated destructor stub
}
void Error_rate::initialize(const unordered_map<tuple<Event_type,Gene_class,Seq_side>, shared_ptr<Rec_Event>>& events_map){
//Do nothing
//This method is called if no other method is supplied in the instantiated class
}
void Error_rate::norm_weights_by_seq_likelihood(Marginal_array_p& single_seq_marginal_array , const size_t marginal_array_size , const double seq_weight/*=1 by default*/){
if(seq_likelihood!=0){
for(size_t i = 0 ; i != marginal_array_size ; ++i){
single_seq_marginal_array[i]/=this->seq_likelihood*seq_weight;
}
}
else{
//Everything should already be 0, just a debug check
for(size_t i = 0 ; i != marginal_array_size ; ++i){
single_seq_marginal_array[i]=0;
}
}
}
double Error_rate::get_seq_mean_error_number() const{
if(seq_likelihood!=0){
return seq_mean_error_number/seq_likelihood;
}
else{
return 0;
}
}
void add_to_err_rate(Error_rate* err_p1 , Error_rate* err_p2){
if(err_p1->type() != err_p2->type()){
throw invalid_argument("Cannot add error_rate of type " + err_p1->type() +" and " + err_p2->type() );
}
else{
err_p1->add_checked(err_p2);
return;
}
}
|
