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.