Comments (3)
After more investigating, I believe the error originates here:
https://github.com/topepo/caret/blob/c69d61dd7c968b50a87fb2f337424d08ea4a980a/pkg/caret/R/train_recipes.R#L412-L413
When I debug into that line, I see that pkgs
is
[1] "methods" "caret" "recipes"
which I think means that foreach
doesn't have access to embed
. From ?foreach
:
.packages | character vector of packages that the tasks depend on. If exrequires a R package to be loaded, this option can be used to load that package on each of the workers. Ignored when used with %do%
So I think this issue is probably a caret problem.
from embed.
tensorflow models can't really be parallelized in the way that caret
does with other models/preprocessing methods. For models using TF/keras, a check is done and the user is prohibited from running these in (non-gpu) parallel.
There's no real way to do this for recipes but I will add a note in the embed
help files about this limitation.
from embed.
This issue has been automatically locked. If you believe you have found a related problem, please file a new issue (with a reprex: https://reprex.tidyverse.org) and link to this issue.
from embed.
Related Issues (20)
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from embed.