fix memory leaks on EMGLLF, test OK for EMGrank

[valse.git] / src / test / generate_test_data / helpers / constructionModelesLassoMLE.m

diff --git a/src/test/generate_test_data/helpers/constructionModelesLassoMLE.m b/src/test/generate_test_data/helpers/constructionModelesLassoMLE.m
index 5b7c65e..3e852a6 100644 (file)
--- a/src/test/generate_test_data/helpers/constructionModelesLassoMLE.m
+++ b/src/test/generate_test_data/helpers/constructionModelesLassoMLE.m
@@ -1,4 +1,4 @@
-function[phi,rho,pi,lvraisemblance] = constructionModelesLassoMLE(...
+function[phi,rho,pi,llh] = constructionModelesLassoMLE(...
        phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda,X,Y,seuil,tau,A1,A2)
 
        PI = 4.0 * atan(1.0);
@@ -12,7 +12,7 @@ function[phi,rho,pi,lvraisemblance] = constructionModelesLassoMLE(...
        phi = zeros(p,m,k,L);
        rho = zeros(m,m,k,L);
        pi = zeros(k,L);
-       lvraisemblance = zeros(L,2);
+       llh = zeros(L,2);
 
        for lambdaIndex=1:L
                % Procedure Lasso-MLE
@@ -51,8 +51,8 @@ function[phi,rho,pi,lvraisemblance] = constructionModelesLassoMLE(...
                                        pi(r,lambdaIndex)*det(rho(:,:,r,lambdaIndex))/(sqrt(2*PI))^m*exp(-dot(delta,delta)/2.0);
                        end
                end
-               lvraisemblance(lambdaIndex,1) = sum(log(densite(:,lambdaIndex)));
-               lvraisemblance(lambdaIndex,2) = (dimension+m+1)*k-1;
+               llh(lambdaIndex,1) = sum(log(densite(:,lambdaIndex)));
+               llh(lambdaIndex,2) = (dimension+m+1)*k-1;
        end
 
 end