build_rf {seer} | R Documentation |
build random forest classifier
Description
train a random forest model and predict forecast-models for new series
Usage
build_rf(
training_set,
testset = FALSE,
rf_type = c("ru", "rcp"),
ntree,
seed,
import = FALSE,
mtry = 8
)
Arguments
training_set |
data frame of features and class labels |
testset |
features of new time series, default FALSE if a testset is not available |
rf_type |
whether ru(random forest based on unbiased sample) or rcp(random forest based on class priors) |
ntree |
number of trees in the forest |
seed |
a value for seed |
import |
Should importance of predictors be assessed?, TRUE of FALSE |
mtry |
number of features to be selected at each node |
Value
a list containing the random forest and forecast-models for new series
[Package seer version 1.1.8 Index]