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Predict from a apd_isolation

Source: R/isolation-score.R
score.apd_isolation.Rd

Predict from a apd_isolation

Usage

# S3 method for class 'apd_isolation'
score(object, new_data, type = "numeric", ...)

Arguments

object

A apd_isolation object.

new_data

A data frame or matrix of new samples.

type

A single character. The type of predictions to generate. Valid options are:

  • "numeric" for numeric predictions.

...

Not used, but required for extensibility.

Value

A tibble of predictions. The number of rows in the tibble is guaranteed to be the same as the number of rows in new_data. The score column is the raw prediction from isotree::predict.isolation_forest() while score_pctl compares this value to the reference distribution of the score created by predicting the training set. A value of X means that X percent of the training data have scores less than the predicted value.

Details

About the score

See also

apd_isolation()

Examples

if (FALSE) { # interactive()
if (rlang::is_installed(c("isotree", "modeldata"))) {
  library(dplyr)

  data(cells, package = "modeldata")

  cells_tr <- cells |> filter(case == "Train") |> select(-case, -class)
  cells_te <- cells |> filter(case != "Train") |> select(-case, -class)

  if_mod <- apd_isolation(cells_tr, ntrees = 10, nthreads = 1)
  score(if_mod, cells_te)
}
}