add test folder
[valse.git] / src / test / OLD_TEST_MATLAB / testSelectiontotale.m
1 function[] = testSelectiontotale()
2
3 testFolder = 'data/';
4 delimiter = '\n';
5
6 %get dimensions
7 dimensions = dlmread(strcat(testFolder,'dimensions'), delimiter);
8 n = dimensions(1);
9 p = dimensions(2);
10 m = dimensions(3);
11 k = dimensions(4);
12 L = dimensions(5);
13
14 %get all input arrays
15 phiInit = reshape(dlmread(strcat(testFolder,'phiInit'), delimiter), p, m, k);
16 rhoInit = reshape(dlmread(strcat(testFolder,'rhoInit'), delimiter), m, m, k);
17 piInit = transpose(dlmread(strcat(testFolder,'piInit'), delimiter));
18 gamInit = reshape(dlmread(strcat(testFolder,'gamInit'), delimiter), n, k);
19 mini = int64(dlmread(strcat(testFolder,'mini'), delimiter));
20 maxi = int64(dlmread(strcat(testFolder,'maxi'), delimiter));
21 gamma = dlmread(strcat(testFolder,'gamma'), delimiter);
22 glambda = dlmread(strcat(testFolder,'glambda'), delimiter);
23 X = reshape(dlmread(strcat(testFolder,'X'), delimiter), n, p);
24 Y = reshape(dlmread(strcat(testFolder,'Y'), delimiter), n, m);
25 seuil = dlmread(strcat(testFolder,'seuil'), delimiter);
26 tau = dlmread(strcat(testFolder,'tau'), delimiter);
27
28 %run constructionModelesLassoMLE.m
29 [A1,A2,Rho,Pi] = selectiontotale(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda,X,Y,seuil,tau);
30
31 %get all stored outputs
32 ref_A1 = int64(reshape(dlmread(strcat(testFolder,'A1'), delimiter), p, m+1, L));
33 ref_A2 = int64(reshape(dlmread(strcat(testFolder,'A2'), delimiter), p, m+1, L));
34 ref_Rho = reshape(dlmread(strcat(testFolder,'Rho'), delimiter), m, m, k, L);
35 ref_Pi = reshape(dlmread(strcat(testFolder,'Pi'), delimiter), k, L);
36
37 %check that output correspond to stored output
38 tol = 1e-5;
39 checkOutput('A1',A1,ref_A1,tol);
40 checkOutput('A2',A2,ref_A2,tol);
41 checkOutput('Rho',Rho,ref_Rho,tol);
42 checkOutput('Pi',Pi,ref_Pi,tol);
43
44 end