Consider a `~/.Rprofile` file containing:
print("hello")
"world"
invisible("!")
This will output the following:
[1] "hello"
[1] "world"
when R is started. Note that "world" is also print():ed. In
contrast, if you'd source() the same file, then you'd need to use
argument print.eval = TRUE to g
Hello,
colnames seems to be not optimized well for data.frame. It escapes
processing for data.frame in
if (is.data.frame(x) && do.NULL)
return(names(x))
but only when do.NULL true. This makes huge difference when do.NULL
false. Minimal edit to `colnames`:
if (is.data.frame(x)) {
This is a request to increase MAX_NUM_DLLS in Rdynload.c in from 100 to 500.
On line 131 of Rdynload.c, changing
#define MAX_NUM_DLLS 100
to
#define MAX_NUM_DLLS 500
In development of the mlr package, there have been several episodes in the
past where we have had to break up unit tests becau
On reason for hitting the MAX_NUM_DLLS (= 100) limit is because some
packages don't unload their DLLs when they being unloaded themselves.
In other words, there may be left-over DLLs just sitting there doing
nothing but occupying space. You can remove these, using:
R.utils::gcDLLs()
Maybe tha
Thanks Henrik this is very helpful! I will try this out on our tests and
see if gcDLLs() has a positive effect.
mlr currently has tests broken down by learner type such as classification,
regression, forecasting, clustering, etc.. There are 83 classifiers alone
so even when loading and unloading a
