Plot the cumulative distribution function for similarity metrics
# S3 method for apd_similarity autoplot(object, ...)
An object produced by
Not currently used.
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
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.