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main_eval_all.m
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main_eval_all.m
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% @author Tiffany Jann
% @date August 13, 2017
% @adapted from main_example.m
% @contact [email protected]
%%% THIS SCRIPT WILL FIND AUC VALUES FOR ALL DISCRETIZATIONS PROVIDED IN
%%% DATA FILE
%%% runs like main_example.m, without discretization selection
%%% documentation is available for main_example.m
clc,clear
format short
%%%%% LOAD DATA %%%%%
% for input file, either use user's own file, or load default example file;
try
disp('Load your own *.mat file: ')
[file,path] = uigetfile('*.mat');
if file
filename = strcat(path, file);
load(filename)
fprintf(['data file successfully loaded from '])
disp(strcat(path, file))
clear file path filename;
[vn, num_disc_methods] = GetDiscretizationMethods_t(who());
else
load('example.mat');
disp('no file selected. default file loaded.')
clear file path;
[vn, num_disc_methods] = GetDiscretizationMethods_t(who());
end
catch % if user's selected file causes an error
% load an example data file; keep all the files in the same folder;
load('example.mat');
disp('an error occured. default file loaded.')
clear file path vn num_disc_methods;
[vn, num_disc_methods] = GetDiscretizationMethods_t(who());
end
clear file filename path;
% prompt for data dimensions
% default values correspond to default example data
[num_time_series, num_nodes] = input_dim_dialog();
vals = cell(num_disc_methods,1); % preallocating space to save computation resources
for i = 1:num_disc_methods
test_data = normalize_t(eval(vn{i}));
try
vals{i, 1} = qualification_t(original, test_data, num_time_series, num_nodes);
catch
disp('an error occured. likely, your .mat file is missing the original dataset matrix');
end
end
disp([["[[DISCRETIZATION]]", "[[MEAN AREA BTWN CURVES]]"]; [vn vals]]);
clear i vn vals num_time_series num_nodes num_disc_methods test_data zygote;