X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=old_C_code%2Fwrapper.R;fp=old_C_code%2Fwrapper.R;h=ee15a7988b2a77c00179bc518871a7cd9dd9cfcb;hb=14cb6cf8266c0e1299f16a4b2352f54dbae26f44;hp=0000000000000000000000000000000000000000;hpb=5edda192f1a634ba284acdea7b6302f60df7b000;p=epclust.git diff --git a/old_C_code/wrapper.R b/old_C_code/wrapper.R new file mode 100644 index 0000000..ee15a79 --- /dev/null +++ b/old_C_code/wrapper.R @@ -0,0 +1,56 @@ +ppam_exe = function(path=".", np=parallel::detectCores(), data=NULL, + nbSeriesPerChunk, nbClusters, randomize=1, p_dissims=2) +{ + args = paste(nbSeriesPerChunk," ",nbClusters," ",randomize," ",p_dissims,sep="") + + command_line = paste("mpirun -np ",np," ",path,"/ppam.exe cluster",sep="") + + #if data provided (as data.frame or matrix...): binarize it, and add it as first argument + if (!is.null(data)) + { + if (!is.character(data)) + { + #assuming matrix or data.frame, WITH row names + #( identifiers; could be line number... e.g. data <- cbind(1:nrow(data),data) ) + write.table(data, "/tmp/data_csv", sep=",", row.names=FALSE, col.names=FALSE) + system(paste(path,"/ppam.exe serialize /tmp/data_csv /tmp/data_bin 0 0",sep="")) + } else + { + system(paste(path,"/ppam.exe serialize ",data," /tmp/data_bin 0 0",sep="")) + } + command_line = paste(command_line," /tmp/data_bin",sep="") + } + + command_line = paste(command_line," ",args,sep="") + system(command_line) +} + +#NOTE: identifiers in first column +getMedoids = function(path=".", xmlResult = "ppamResult.xml", + finalSeries = "ppamFinalSeries.bin") +{ + system(paste(path,"/ppam.exe deserialize ",finalSeries," ppamFinalSeries.csv -1",sep="")) + curves = read.table("ppamFinalSeries.csv", sep=",") + library(XML) + ranks = as.integer( xmlToList( xmlParse(xmlResult) )$ranks ) + return ( curves[ranks,] ) # == medoids +} + +getDistor = function(path=".", xmlResult = "ppamResult.xml", + finalSeries = "ppamFinalSeries.bin") +{ + system(paste(path,"/ppam.exe classif ",finalSeries," ",xmlResult,sep="")) +} + +serialize = function(path=".", csvSeries, binSeries, byCols=0, nbSeries=0) +{ + system(paste(path,"/ppam.exe serialize ",csvSeries," ",binSeries," ",byCols," ",nbSeries, + sep="")) +} + +deserialize = function(path=".", binSeries, csvSeries, ranks="-1", return=TRUE) +{ + system(paste(path,"/ppam.exe deserialize ",binSeries," ",csvSeries," ",ranks,sep="")) + if (return) + return ( read.table(csvSeries, sep=",") ) +}