Plot the cumulative distribution function for similarity metrics

# S3 method for apd_similarity
autoplot(object, ...)

Arguments

object: An object produced by apd_similarity.
...: Not currently used.

Value

A ggplot object that shows the cumulative probability versus the unique similarity values in the training set. Not that for large samples, this is an approximation based on a random sample of 5,000 training set points.

Examples

set.seed(535)
tr_x <- matrix(
  sample(0:1, size = 20 * 50, prob = rep(.5, 2), replace = TRUE),
  ncol = 20
)
model <- apd_similarity(tr_x)