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Predict from a apd_svm_novel_detection

score.apd_svm_novel_detection.Rd

Predict from a apd_svm_novel_detection

Usage

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

Arguments

object

A apd_svm_novel_detection 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 kernlab::predict() 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_svm_novel_detection()