Predict anomaly scores using an Isolation Forest model

Usage

# S3 method for class 'isoForest'
predict(
  object,
  newdata,
  num.threads = NULL,
  type = "terminalNodes",
  seed = NULL,
  ...
)

Arguments

object: an Isolation Forest model
newdata: a data frame containing the new observations to be predicted
num.threads: the number of threads to be used for the prediction (default is NULL, which means all available threads)
type: the type of prediction to be made (default is "terminalNodes")
seed: the seed to be used for the random number generator (default is NULL)
...: additional arguments to be passed to the predict function

Value

a data frame containing the anomaly scores for the new observations

Examples

# Load the example data
data(iris)
# Train an Isolation Forest model
model <- isoForest(iris[1:2])
# Predict anomaly scores for new observations
predictions <- predict(model, iris[1:2])