files = list.files(path = "~/repos/compboost/benchmark/mlr-bmr/res-results", full.names = TRUE)
extractStringBetween = function(str, left, right) {
tmp = sapply(strsplit(str, left), function(x) x[2])
sapply(strsplit(tmp, right), function(x) x[1])
}
if (! dir.exists("~/repos/compboost/benchmark/mlr-bmr/best-runs"))
dir.create("~/repos/compboost/benchmark/mlr-bmr/best-runs")
k = 1L
for (fn in files) {
is_done = any(grepl(fn, list.files("best-runs")))
if (is_done) {
cat(k, "/", length(files), ": Already done\n", sep = "")
} else {
config_runtime = list(
ts = extractStringBetween(fn, "-task", "-classif_"),
ln = paste0("classif_", extractStringBetween(fn, "classif_", ".Rda")),
file = fn)
cat(k, "/", length(files), ": ", fn, "\n", sep = "")
save(config_runtime, file = "~/repos/compboost/benchmark/mlr-bmr/config-best-model.Rda")
system("Rscript best-model-runtime.R")
}
k = k + 1L
}
if (FALSE) {
files = list.files("best-runs", full.names = TRUE)
ll = list()
for (fn in files) {
load(fn)
ll = c(ll, list(df_best))
}
df_run = do.call(rbind, ll)
}
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