score.apd_isolation {applicable} | R Documentation |
Predict from a apd_isolation
Description
Predict from a apd_isolation
Usage
## S3 method for class 'apd_isolation'
score(object, new_data, type = "numeric", ...)
Arguments
object |
A |
new_data |
A data frame or matrix of new samples. |
type |
A single character. The type of predictions to generate. Valid options are:
|
... |
Not used, but required for extensibility. |
Details
About the score
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.
See Also
Examples
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)
}
[Package applicable version 0.1.1 Index]