X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FR%2FselectVariables.R;h=4e9b374c26e950aa560d2faa12cf7eac2717c0c8;hp=b4fc0abbcc02e8634671cadfb7591777904d8926;hb=b9b0b72a2c8f7f0d1a3216528aefcec0a92c6c99;hpb=4e8267487c83c27273305b1379e44bc7abebf4b5

diff --git a/pkg/R/selectVariables.R b/pkg/R/selectVariables.R
index b4fc0ab..4e9b374 100644
--- a/pkg/R/selectVariables.R
+++ b/pkg/R/selectVariables.R
@@ -14,6 +14,7 @@
 #' @param Y			 matrix of responses
 #' @param thres	 threshold to consider a coefficient to be equal to 0
 #' @param tau		 threshold to say that EM algorithm has converged
+#' @param ncores Number or cores for parallel execution (1 to disable)
 #'
 #' @return a list of outputs, for each lambda in grid: selected,Rho,Pi
 #'
@@ -22,18 +23,18 @@
 #' @export
 #'
 selectVariables = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda,
-	X,Y,thresh,tau, ncores=1) #ncores==1 ==> no //
+	X,Y,thresh,tau, ncores=3)
 {
 	if (ncores > 1)
 	{
-		cl = parallel::makeCluster(ncores)
+		cl = parallel::makeCluster(ncores, outfile='')
 		parallel::clusterExport(cl=cl,
 			varlist=c("phiInit","rhoInit","gamInit","mini","maxi","glambda","X","Y","thresh","tau"),
 			envir=environment())
 	}
 
 	# Calcul pour un lambda
-	computeCoefs <-function(lambda)
+	computeCoefs <- function(lambda)
 	{
 		params = EMGLLF(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,lambda,X,Y,tau)
 
@@ -54,7 +55,8 @@ selectVariables = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambd
 	out <-
 		if (ncores > 1)
 			parLapply(cl, glambda, computeCoefs)
-		else lapply(glambda, computeCoefs)
+		else
+			lapply(glambda, computeCoefs)
 	if (ncores > 1)
 		parallel::stopCluster(cl)