pvimp.gbm: Permutation variable importance method for gbm
In CYGUBICKO/satpred: Survival Analysis Trianing and PREDiction (satpred)
pvimp.gbm R Documentation
Permutation variable importance method for gbm
Description
Permutation variable importance method for gbm
Usage
## S3 method for class 'gbm'
pvimp(
model,
newdata,
nrep = 20,
parallelize = TRUE,
nclusters = parallel::detectCores(),
estimate = c("mean", "quantile"),
probs = c(0.025, 0.5, 0.975),
seed = NULL,
...
)
CYGUBICKO/satpred documentation built on Sept. 10, 2023, 4:10 p.m.
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| pvimp.gbm | R Documentation |
Permutation variable importance method for gbm
Description
Permutation variable importance method for gbm
Usage
## S3 method for class 'gbm'
pvimp(
model,
newdata,
nrep = 20,
parallelize = TRUE,
nclusters = parallel::detectCores(),
estimate = c("mean", "quantile"),
probs = c(0.025, 0.5, 0.975),
seed = NULL,
...
)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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