Hello!
The following packages are pre-installed for the R environment. We will use this environment for R based submissions from now.
ahaz
arules
BART
bartMachine
BayesTree
BDgraph
biglasso
bmrm
Boruta
bst
C50
caret
CORElearn
Cubist
deepnet
devtools
e1071
earth
effects
elasticnet
evclass
evtree
frbs
gamboostLSS
gbm
ggRandomForests
glmnet
glmpath
GMMBoost
gradDescent
grf
grplasso
grpreg
h2o
hda
hdi
hdm
ICEbox
ipred
kernlab
klaR
lars
lasso2
LiblineaR
maptree
mboost
mlr3
mlr3proba
naivebayes
ncvreg
nnet
OneR
opusminer
pamr
party
partykit
pdp
penalized
penalizedLDA
picasso
plotmo
quantregForest
randomForest
randomForestSRC
ranger
rattle
Rborist
RcppDL
rdetools
relaxo
rgenoud
RGF
RLT
Rmalschains
rminer
ROCR
RoughSets
rpart
RPMM
RSNNS
RWeka
RXshrink
sda
SIS
ssgraph
stabs
SuperLearner
svmpath
tensorflow
tgp
tree
trtf
usethis
varSelRF
wsrf
xgboost
The base images used for evaluation are available on docker hub in case anyone wants to try them.
Language (in config.json) |
R version | Corresponding docker image |
|---|---|---|
r |
4.0.3 | aicrowd/r-base:4.0.3 |
r4 |
4.0.3 | aicrowd/r-base:4.0.3 |
r4.0 |
4.0.3 | aicrowd/r-base:4.0.3 |
r3 |
3.6.3 | aicrowd/r-base:3.6.3 |
r3.6 |
3.6.3 | aicrowd/r-base:3.6.3 |