From c76d300b410032de9e6977b6569d2c2abd442e9e Mon Sep 17 00:00:00 2001 From: jeffersonfparil Date: Tue, 25 Jun 2024 13:58:06 +1000 Subject: [PATCH] debugging unusual training and validation sizes in within population CVs --- R/io.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/io.R b/R/io.R index e8dc4f3..85725ec 100644 --- a/R/io.R +++ b/R/io.R @@ -2355,7 +2355,7 @@ fn_estimate_memory_footprint = function(X, n_models=7, n_folds=10, n_reps=10, size_total = size_X * n_models * n_folds * n_reps * memory_multiplier n_threads = floor(as.numeric(gsub(" bytes", "", size_RAM / (size_X * memory_multiplier)))) if (verbose) { - print(paste0("Dimensions of X: = ", paste(dim(X), collapse=" x "))) + print(paste0("Dimensions of G: = ", paste(dim(X$G), collapse=" x "))) print(paste0("Size of X: = ", format(size_X, units="b"))) print(paste0("n_models = ", n_models, "; n_folds = ", n_folds, "; n_reps = ", n_reps)) print(paste0("Total memory requested = ",