bert9bert / parallelforest Goto Github PK
View Code? Open in Web Editor NEWR package implementing random forest classification using parallel computing, built with Fortran and OpenMP in the backend.
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parallelforest's Issues
Need Votes/Probability Response
This is quite a fast and efficient package, avoiding foreach cloning. Very efficient and fantastics. It would be nicer if:
- Can predict number of votes, probability response.
- Can control both Memory and CPU footprint not to suddenly take all resources.
RStudio Crashing when calling grow.forest on artificial dataset
I'm trying to do some benchmarking on this package, and I've run into an issue where grow.forest call causes RStudio to abort the session.
It appears that the issue is caused when the .Fortran() call is used to begin training the forest, but I am unsure what the root of the problem might be. I've created a reproducible example below:
library(ParallelForest)
y <- as.factor(purrr::rbernoulli(1000))
x1 <- rnorm(1000)
x2 <- rnorm(1000)
x3 <- rnorm(1000)
x3 <- rnorm(1000)
df <- data.frame(y = y,
x1 = x1,
x2 = x2,
x3 = x3)
grow.forest(y ~ ., df)
You can find my sessionInfo() below as well:
R version 3.5.1 (2018-07-02)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ParallelForest_1.1.0
loaded via a namespace (and not attached):
[1] compiler_3.5.1 magrittr_1.5 tools_3.5.1 yaml_2.2.0 rlang_0.2.1 purrr_0.2.5
Just to be clear, the data contained in this package works on the example given in the grow.forest vignette. I am just confused as to why my example crashes the session
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