X-Git-Url: https://git.auder.net/?p=epclust.git;a=blobdiff_plain;f=epclust%2FR%2Fmain.R;h=4159941ff046cc824d69a7e987762926b9238108;hp=f45c9450dab724258047c4161439f3adafc83718;hb=c33af7e44b802c182ea92c79b56a72cae3007301;hpb=74f571a72fd63ae92466d944a9ab4a111d177121 diff --git a/epclust/R/main.R b/epclust/R/main.R index f45c945..4159941 100644 --- a/epclust/R/main.R +++ b/epclust/R/main.R @@ -7,8 +7,8 @@ #' \itemize{ #' \item data.frame: each line contains its ID in the first cell, and all values after #' \item connection: any R connection object (e.g. a file) providing lines as described above -#' \item function: a custom way to retrieve the curves; it has two arguments: the start index -#' (start) and number of curves (n); see example in package vignette. +#' \item function: a custom way to retrieve the curves; it has two arguments: the ranks to be +#' retrieved, and the IDs - at least one of them must be present (priority: ranks). #' } #' @param K1 Number of super-consumers to be found after stage 1 (K1 << N) #' @param K2 Number of clusters to be found after stage 2 (K2 << K1) @@ -58,7 +58,7 @@ epclust = function(data, K1, K2, ntasks=1, nb_series_per_chunk=50*K1, min_series } K1 = toInteger(K1, function(x) x>=2) K2 = toInteger(K2, function(x) x>=2) - ntasks = toInteger(ntasks) + ntasks = toInteger(ntasks, function(x) x>=1) nb_series_per_chunk = toInteger(nb_series_per_chunk, function(x) x>=K1) min_series_per_chunk = toInteger(K1, function(x) x>=K1 && x<=nb_series_per_chunk) ncores_tasks = toInteger(ncores_tasks, function(x) x>=1) @@ -76,8 +76,7 @@ epclust = function(data, K1, K2, ntasks=1, nb_series_per_chunk=50*K1, min_series coeffs_chunk = computeCoeffs(data, index, nb_series_per_chunk, wf) if (is.null(coeffs_chunk)) break - serialized_coeffs = serialize(coeffs_chunk) - appendBinary(coeffs_file, serialized_coeffs) + serialize(coeffs_chunk, coeffs_file, append=TRUE) index = index + nb_series_per_chunk nb_curves = nb_curves + nrow(coeffs_chunk) if (is.na(nb_coeffs))