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)#> Warning: The x argument of as_tibble.matrix() must have column names if .name_repair is omitted as of tibble 2.0.0.
#> Using compatibility .name_repair.
#> This warning is displayed once every 8 hours.
#> Call lifecycle::last_warnings() to see where this warning was generated.