test_that("Isotonic validation with data frame input - Multiclass", {
df <- rsample::vfold_cv(testthat_cal_sim_multi())
val_obj <- cal_validate_isotonic(df, class)
val_with_pred <- cal_validate_isotonic(df, class, save_pred = TRUE)
expect_s3_class(val_obj, "data.frame")
expect_s3_class(val_obj, "cal_rset")
expect_equal(nrow(val_obj), nrow(df))
expect_equal(
names(val_obj),
c("splits", "id", ".metrics", ".metrics_cal")
)
expect_s3_class(val_with_pred, "data.frame")
expect_s3_class(val_with_pred, "cal_rset")
expect_equal(nrow(val_with_pred), nrow(df))
expect_equal(
names(val_with_pred),
c("splits", "id", ".metrics", ".metrics_cal", ".predictions_cal")
)
expect_equal(
names(val_with_pred$.predictions_cal[[1]]),
c(".pred_one", ".pred_two", ".pred_three", "class", ".row", ".pred_class")
)
expect_equal(
purrr::map_int(val_with_pred$splits, ~ holdout_length(.x)),
purrr::map_int(val_with_pred$.predictions_cal, nrow)
)
})
test_that("Isotonic validation with `fit_resamples` - Multiclass", {
res <- testthat_cal_fit_rs()
val_obj <- cal_validate_isotonic(res$multin)
val_with_pred <- cal_validate_isotonic(res$multin, save_pred = TRUE)
expect_s3_class(val_obj, "data.frame")
expect_s3_class(val_obj, "cal_rset")
expect_equal(nrow(val_obj), nrow(res$multin))
expect_equal(
names(val_obj),
c("splits", "id", ".notes", ".predictions", ".metrics", ".metrics_cal")
)
expect_s3_class(val_with_pred, "data.frame")
expect_s3_class(val_with_pred, "cal_rset")
expect_equal(nrow(val_with_pred), nrow(res$multin))
expect_equal(
names(val_with_pred),
c("splits", "id", ".notes", ".predictions", ".metrics", ".metrics_cal", ".predictions_cal")
)
skip_if_not_installed("tune", "1.2.0")
expect_equal(
names(val_with_pred$.predictions_cal[[1]]),
c(".pred_one", ".pred_two", ".pred_three", ".row", "outcome", ".config", ".pred_class")
)
expect_equal(
purrr::map_int(val_with_pred$splits, ~ holdout_length(.x)),
purrr::map_int(val_with_pred$.predictions_cal, nrow)
)
})
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