X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=src%2Ftest%2Fgenerate_test_data%2FgenerateRunSaveTest_constructionModelesLassoRank.R;h=559bd9ec538ef13b968da8d299ddcb8bd006ad24;hp=dfb2736a699d207377062c6e6fc297e5e1cdded4;hb=31ef8a5c9bbaefcf40d2c2bad43b27d469c28c34;hpb=9ade3f1b66fa07ad9f1a3b09fc05462c783841de diff --git a/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoRank.R b/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoRank.R index dfb2736..559bd9e 100644 --- a/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoRank.R +++ b/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoRank.R @@ -1,46 +1,49 @@ -generateRunSaveTest_constructionModelesLassoRank = function(n=200, p=15, m=10, L=12, mini=5, maxi=10, gamma=1.0, rangmin=3, rangmax=6){ - testFolder = "data/" - dir.create(testFolder, showWarnings=FALSE, mode="0755") - delimiter = " " - +source("helpers/constructionModelesLassoRank.R") + +generateRunSaveTest_constructionModelesLassoRank = function(n=200, p=15, m=10, k=3, L=12, mini=5, + maxi=10, gamma=1.0, rangmin=3, rangmax=6) +{ tau = 1e-6 - - - pi = matrix(0, k,L) - for(i in 1:L){ - pi[,i] = rep(1.0/k, k) - } - rho = array(0, dim=c(m,m,k,L)) - for(l in 1:L){ - for(r in 1:k){ + pi = matrix(1./k, nrow=k, ncol=L) + rho = array(dim=c(m,m,k,L)) + for (l in 1:L) + { + for (r in 1:k) rho[,,r,l] = diag(1,m) - } } - #Generate X and Y + A1 = matrix(seq_len(p), nrow=p, ncol=L) require(valse) - generateIOdef = valse:::generateIOdefault(n, p, m, k) - - A1 = matrix(0,p,L) - for(i in 1:L){ - A1[,i] = seq(1,p) - } + xy = valse:::generateXYdefault(n, p, m, k) + + testFolder = "../data/" + dir.create(testFolder, showWarnings=FALSE, mode="0755") #save inputs - write.table(paste(testFolder,"rho",sep=""), rho, sep=delimiter) - write.table(paste(testFolder,"pi",sep=""), pi, sep=delimiter) - write.table(paste(testFolder,"mini",sep=""), mini, sep=delimiter) - write.table(paste(testFolder,"maxi",sep=""), maxi, sep=delimiter) - write.table(paste(testFolder,"X",sep=""), generateIOdef$X sep=delimiter) - write.table(paste(testFolder,"Y",sep=""), generateIOdef$Y, sep=delimiter) - write.table(paste(testFolder,"tau",sep=""), tau, sep=delimiter) - write.table(paste(testFolder,"A1",sep=""), A1, sep=delimiter) - write.table(paste(testFolder,"rangmin",sep=""), rangmin, sep=delimiter) - write.table(paste(testFolder,"rangmax",sep=""), rangmax, sep=delimiter) - write.table(paste(testFolder,"dimensions",sep=""), c(n,p,m,k), sep=delimiter) - - construct = constructionModelesLassoRank(pi,rho,mini,maxi,X,Y,tau,A1,rangmin,rangmax)) - + write.table(as.double(pi), paste(testFolder,"pi",sep=""), + row.names=F, col.names=F) + write.table(as.double(rho),paste(testFolder,"rho",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(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(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.integer(rangmin),paste(testFolder,"rangmin",sep=""), + row.names=F, col.names=F) + write.table(as.integer(rangmax),paste(testFolder,"rangmax",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 = constructionModelesLassoRank(pi,rho,mini,maxi,xy$X,xy$Y,tau,A1,rangmin,rangmax) + #save output - write.table(paste(testFolder,"phi",sep=""), construct$phi, sep=delimiter) - write.table(paste(testFolder,"lvraisemblance",sep=""), construct$lvraisemblance, sep=delimiter) - + write.table(as.double(res$phi), paste(testFolder,"phi",sep=""), row.names=F, col.names=F) + write.table(as.double(res$llh), paste(testFolder,"llh",sep=""), row.names=F, col.names=F) }