From: emilie Date: Thu, 16 Mar 2017 15:28:31 +0000 (+0100) Subject: without parallel for selectiontotale.R (problem with parallel) X-Git-Url: https://git.auder.net/variants/Chakart/css/current/scripts/img/mini-custom.min.css?a=commitdiff_plain;h=12381c92accfc0b7bedc3ce1c338856df1838a73;p=valse.git without parallel for selectiontotale.R (problem with parallel) --- diff --git a/R/selectiontotale.R b/R/selectiontotale.R index 1690386..5b0112c 100644 --- a/R/selectiontotale.R +++ b/R/selectiontotale.R @@ -1,12 +1,13 @@ #Return a list of outputs, for each lambda in grid: selected,Rho,Pi -selectiontotale = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda,X,Y,thresh,tau){ - require(parallel) - cl = parallel::makeCluster( parallel::detectCores() / 4 ) # <-- ça devrait être un argument +selectiontotale = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda,X,Y,thresh,tau, parallel = FALSE){ + if (parallel) { + require(parallel) + cl = parallel::makeCluster( parallel::detectCores() / 4) # <-- ça devrait être un argument parallel::clusterExport(cl=cl, varlist=c("phiInit","rhoInit","gamInit","mini","maxi","glambda","X","Y","thresh","tau"), envir=environment()) #Pour chaque lambda de la grille, on calcule les coefficients - out = parLapply( 1:length(glambda), function(lambdaindex) + out = parLapply(cl, 1:length(glambda), function(lambdaIndex) { params = EMGLLF(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda[lambdaIndex],X,Y,tau) @@ -23,4 +24,27 @@ selectiontotale = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambd list("selected"=selectedVariables,"Rho"=params$Rho,"Pi"=params$Pi) }) parallel::stopCluster(cl) - } \ No newline at end of file + } + else { + selectedVariables = list() + Rho = list() + Pi = list() + #Pour chaque lambda de la grille, on calcule les coefficients + for (lambdaIndex in 1:length(glambda)){ + print(lambdaIndex) + params = + EMGLLF(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda[lambdaIndex],X,Y,tau) + p = dim(phiInit)[1] + m = dim(phiInit)[2] + #selectedVariables: list where element j contains vector of selected variables in [1,m] + selectedVariables[[lambdaIndex]] = lapply(1:p, function(j) { + #from boolean matrix mxk of selected variables obtain the corresponding boolean m-vector, + #and finally return the corresponding indices + seq_len(m)[ apply( abs(params$phi[j,,]) > thresh, 1, any ) ] + }) + Rho[[lambdaIndex]] = params$Rho + Pi[[lambdaIndex]] = params$Pi + } + list("selected"=selectedVariables,"Rho"=Rho,"Pi"=Pi) + } +} \ No newline at end of file