build_rf | R Documentation |
train a random forest model and predict forecast-models for new series
build_rf( training_set, testset = FALSE, rf_type = c("ru", "rcp"), ntree, seed, import = FALSE, mtry = 8 )
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 |
a list containing the random forest and forecast-models for new series
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