# NOT RUN {
# Two class
data("two_class_example")
npv(two_class_example, truth, predicted)
# Multiclass
library(dplyr)
data(hpc_cv)
hpc_cv %>%
filter(Resample == "Fold01") %>%
npv(obs, pred)
# Groups are respected
hpc_cv %>%
group_by(Resample) %>%
npv(obs, pred)
# Weighted macro averaging
hpc_cv %>%
group_by(Resample) %>%
npv(obs, pred, estimator = "macro_weighted")
# Vector version
npv_vec(two_class_example$truth, two_class_example$predicted)
# Making Class2 the "relevant" level
options(yardstick.event_first = FALSE)
npv_vec(two_class_example$truth, two_class_example$predicted)
options(yardstick.event_first = TRUE)
# }
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