X-Git-Url: https://git.auder.net/?p=epclust.git;a=blobdiff_plain;f=epclust%2FR%2FcomputeSynchrones.R;h=f8d7a068f152c7daea73203033d6f64f9e179de0;hp=16bf0b44939fcd760b52ed5fff693e52a4dcfcee;hb=3fb6e823601002c44ffbf913e83c8d24cfa1e819;hpb=282342bafdc9ff65c5df98c6e2304d63b33b9fb2 diff --git a/epclust/R/computeSynchrones.R b/epclust/R/computeSynchrones.R index 16bf0b4..f8d7a06 100644 --- a/epclust/R/computeSynchrones.R +++ b/epclust/R/computeSynchrones.R @@ -1,10 +1,11 @@ #' computeSynchrones #' -#' Compute the synchrones curves (sum of clusters elements) from a matrix of medoids, +#' Compute the synchrones curves (sums of clusters elements) from a matrix of medoids, #' using euclidian distance. #' -#' @param medoids matrix of medoids in columns (curves of same length as the series) -#' @param getSeries Function to retrieve series (argument: 'indices', integer vector) +#' @param medoids matrix of K medoids curves in columns +#' @param getSeries Function to retrieve series (argument: 'indices', integer vector), +#' as columns of a matrix #' @param nb_curves How many series? (this is known, at this stage) #' @inheritParams claws #' @@ -12,16 +13,15 @@ #' #' @export computeSynchrones <- function(medoids, getSeries, nb_curves, - nb_series_per_chunk, ncores_clust=1,verbose=FALSE,parll=TRUE) + nb_series_per_chunk, ncores_clust=3, verbose=FALSE, parll=TRUE) { # Synchrones computation is embarassingly parallel: compute it by chunks of series computeSynchronesChunk <- function(indices) { if (parll) { - require("bigmemory", quietly=TRUE) - requireNamespace("synchronicity", quietly=TRUE) require("epclust", quietly=TRUE) + requireNamespace("synchronicity", quietly=TRUE) # The big.matrix objects need to be attached to be usable on the workers synchrones <- bigmemory::attach.big.matrix(synchrones_desc) medoids <- bigmemory::attach.big.matrix(medoids_desc) @@ -66,7 +66,11 @@ computeSynchrones <- function(medoids, getSeries, nb_curves, medoids <- bigmemory::as.big.matrix(medoids) medoids_desc <- bigmemory::describe(medoids) # outfile=="" to see stderr/stdout on terminal - cl <- parallel::makeCluster(ncores_clust, outfile="") + cl <- + if (verbose) + parallel::makeCluster(ncores_clust, outfile="") + else + parallel::makeCluster(ncores_clust) parallel::clusterExport(cl, envir=environment(), varlist=c("synchrones_desc","m_desc","medoids_desc","getSeries")) }