Nothing
# Create some output to test the new print function and
# to be comparable with any future changes to gbm.
library( MASS )
data( birthwt )
data( VA )
data( iris )
data( fgl )
data( cpus )
data( housing )
set.seed( 20090417 )
bMod <- gbm( low ~ ., data=birthwt,
n.tree=1000, shrinkage=.01, cv.folds=5,
verbose = FALSE, n.cores=1)
bMod
bwt <- birthwt
bwt <- bwt[ sample( 1:nrow( bwt ) ),]
aMod <- gbm( low ~ ., data=bwt, distribution="adaboost",
n.trees=1000, shrinkage=.01, cv.folds=10,
train.fraction=.9, verbose = FALSE , n.cores=1)
aMod
cMod <- gbm( Surv( stime, status ) ~ treat + age + Karn + diag.time + cell + prior,
data = VA, n.tree = 1000, shrinkage=.1, cv.folds = 5,
verbose = FALSE, n.cores=1)
cMod
kMod <- gbm( Species ~ . , data=iris , n.tree=1000, shrinkage=.1,
cv.folds=5, train.fraction=.9, n.cores=1 )
kMod
kMod2 <- gbm( type ~ ., data=fgl, n.tree=1000, shrinkage=.01,
cv.folds=5, n.cores=1 )
kMod2
mycpus <- cpus
mycpus <- mycpus[, -1 ]
gMod <- gbm( log( perf ) ~ ., data = mycpus, distribution="gaussian",
cv.folds=5, n.trees=1000, shrinkage=.01,
verbose = FALSE, n.cores=1)
gMod
biMod <- gbm( log(perf) ~ ., data=mycpus,
cv.folds=5, n.trees=1000, shrinkage=.01, n.cores=1 )
biMod
tMod <- gbm( log(perf) ~ ., data=mycpus, distribution="tdist",
cv.folds=5, n.trees=1000, shrinkage=.01,
interaction.depth= 3, n.cores=1)
tMod
lMod <- gbm( log(perf) ~ ., data=mycpus, distribution="laplace",
cv.folds=5, n.trees=1000, shrinkage=.01,
interaction.depth= 3, n.cores=1)
lMod
qMod <- gbm( log(perf) ~ ., data=mycpus,
distribution=list(name="quantile", alpha=.7 ),
cv.folds=5, n.trees=1000, shrinkage=.01,
interaction.depth= 3, verbose = FALSE, n.cores=1)
qMod
pMod <- gbm( Freq ~ ., data=housing , distribution="poisson",
n.trees=1000, cv.folds=5 , shrinkage=.01,
interaction.depth = 3, n.cores=1)
pMod
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.