-generateRunSaveTest_constructionModelesLassoMLE = function(n, p, m, k, mini, maxi, gamma, glambda, varargin){
- #set defaults for optional inputs
- optargs = c(200 15 10 3 5 10 1.0 list(0.0,0.01,0.02,0.03,0.05,0.1,0.2,0.3,0.5,0.7,0.85,0.99))
- #replace defaults by user parameters
- optargs[1:length(varargin)] = varargin
- n = optargs[1]
- p = optargs[2]
- m = optargs[3]
- k = optargs[4]
- mini = optargs[5]
- maxi = optargs[6]
- gamma = optargs[7]
- glambda = optargs[8]
- tau = 1e-6
- seuil = 1e-15
- L = length(glambda)
-
- #Generate phiInit,piInit,...
- basicInit = basicInitParameters(n, p, m, k)
- phiInit = basicInit$phiInit
- rhoInit = basicInit$rhoInit
- piInit = basicInit$piInit
- gamInit = basicInit$gamInit
-
- #Generate X and Y
- generateIOdef = generateIOdefault(n, p, m, k)
- X = generateIOdef$X
- Y = generateIOdef$Y
+source("helpers/constructionModelesLassoMLE.R")
- A2 = array(0, dim=c(p, m+1, L))
+generateRunSaveTest_constructionModelesLassoMLE = function(n=200, p=15, m=10, k=3, mini=5,
+ maxi=10, gamma=1.0, glambda=list(0.0,0.01,0.02,0.03,0.05,0.1,0.2,0.3,0.5,0.7,0.85,0.99))
+{
+ tau = 1e-6;
+ seuil = 1e-15;
+ L = length(glambda);
A1 = array(0, dim=c(p, m+1, L))
- for(i in 1:L){
- for(j in 1:p){
- A2[j, 1, i] = j
- A1[j, 1, i] = j
- }
- for(k in 1:5){
- A2[k,2,i] = k
- A1[k,2,i] = k
- }
+ A2 = array(0, dim=c(p, m+1, L))
+ for (i in 1:L)
+ {
+ A1[,1,i] = seq_len(p)
+ A1[1:5,2,i] = seq_len(5)
+ A2[,1,i] = seq_len(p)
+ A2[1:5,2,i] = seq_len(5)
}
+ require(valse)
+ params = valse:::basicInitParameters(n, p, m, k)
+ xy = valse:::generateXYdefault(n, p, m, k)
- testFolder = 'data/'
- dir.create(testFolder)
- delimiter = ' '
-
-
+ testFolder = "../data/"
+ dir.create(testFolder, showWarnings=FALSE, mode="0755")
#save inputs
- write(strcat(testFolder,'phiInit'), reshape(phiInit,1), delimiter)
- write(strcat(testFolder,'rhoInit'), reshape(rhoInit,1), delimiter)
- write(strcat(testFolder,'piInit'), piInit, delimiter)
- write(strcat(testFolder,'gamInit'), reshape(gamInit,1), delimiter)
- write(strcat(testFolder,'mini'), mini, delimiter)
- write(strcat(testFolder,'maxi'), maxi, delimiter)
- write(strcat(testFolder,'gamma'), gamma, delimiter)
- write(strcat(testFolder,'glambda'), glambda, delimiter)
- write(strcat(testFolder,'X'), reshape(X,1), delimiter)
- write(strcat(testFolder,'Y'), reshape(Y,1), delimiter)
- mwrite(strcat(testFolder,'seuil'), seuil, delimiter)
- write(strcat(testFolder,'tau'), tau, delimiter)
- write(strcat(testFolder,'A1'), reshape(A1,1), delimiter)
- write(strcat(testFolder,'A2'), reshape(A2,1), delimiter)
- write(strcat(testFolder,'dimensions'), [n,p,m,k,L], delimiter)
-
- construct_LME = constructionModelesLassoMLE(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda,X,Y,seuil,tau,A1,A2)
- phi = construct_LME$phi
- rho = construct_LME$rho
- pi = construct_LME$pi
- lvraisemblance = construct_LME$lvraisemblance
-
+ write.table(as.double(params$phiInit), paste(testFolder,"phiInit",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(params$rhoInit), paste(testFolder,"rhoInit",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(params$piInit), paste(testFolder,"piInit",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(params$gamInit), paste(testFolder,"gamInit",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.integer(mini), paste(testFolder,"mini",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.integer(maxi), paste(testFolder,"maxi",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(gamma), paste(testFolder,"gamma",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(glambda), paste(testFolder,"glambda",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(xy$X), paste(testFolder,"X",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(xy$Y), paste(testFolder,"Y",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(seuil), paste(testFolder,"seuil",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(tau), paste(testFolder,"tau",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(A1), paste(testFolder,"A1",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(A2), paste(testFolder,"A2",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.integer(c(n,p,m,k,L)), paste(testFolder,"dimensions",sep=""),
+ row.names=F, col.names=F)
+
+ res = constructionModelesLassoMLE(
+ params$phiInit,params$rhoInit,params$piInit,params$gamInit,
+ mini,maxi,gamma,glambda,xy$X,xy$Y,seuil,tau,A1,A2)
+
#save output
- write(strcat(testFolder,'phi'), reshape(phi,1), delimiter);
- write(strcat(testFolder,'rho'), reshape(rho,1), delimiter);
- write(strcat(testFolder,'pi'), reshape(pi,1), delimiter);
- write(strcat(testFolder,'lvraisemblance'), reshape(lvraisemblance,1), delimiter);
+ write.table(as.double(res$phi), paste(testFolder,"phi",sep=""), row.names=F, col.names=F)
+ write.table(as.double(res$rho), paste(testFolder,"rho",sep=""), row.names=F, col.names=F)
+ write.table(as.double(res$pi), paste(testFolder,"pi",sep=""), row.names=F, col.names=F)
+ write.table(as.double(res$llh), paste(testFolder,"llh",sep=""), row.names=F, col.names=F)
}