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function to get prediction columns #230

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function to get prediction columns #230

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d5d7f45
tests for tidymodels/parsnip#1224
topepo Dec 4, 2024
3bd6db0
skip for dev version
topepo Dec 5, 2024
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52 changes: 52 additions & 0 deletions tests/testthat/test-prediction-column-names.R
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Original file line number Diff line number Diff line change
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suppressPackageStartupMessages(library(tidymodels))
suppressPackageStartupMessages(library(censored))

skip_if_not_installed("parsnip", minimum_version = "1.1.0.9004")

test_that("determine prediction column names for workflows", {
skip_if_not_installed("parsnip", "1.2.1.9004")
# complement to tidymodels/parsnip#1224

### classification
lr_fit <- workflow(Class ~ ., logistic_reg()) %>% fit(data = two_class_dat)
expect_equal(
.get_prediction_column_names(lr_fit),
list(estimate = ".pred_class",
probabilities = c(".pred_Class1", ".pred_Class2"))
)
expect_equal(
.get_prediction_column_names(lr_fit, syms = TRUE),
list(estimate = list(quote(.pred_class)),
probabilities = list(quote(.pred_Class1), quote(.pred_Class2)))
)

### regression
ols_fit <- workflow(mpg ~ ., linear_reg()) %>% fit(data = mtcars)
expect_equal(
.get_prediction_column_names(ols_fit),
list(estimate = ".pred",
probabilities = character(0))
)
expect_equal(
.get_prediction_column_names(ols_fit, syms = TRUE),
list(estimate = list(quote(.pred)),
probabilities = list())
)
})

test_that("determine prediction column names for censored regression", {
skip_if_not_installed("parsnip", "1.2.1.9004")
# complement to tidymodels/parsnip#1224

surv_fit <- survival_reg() %>% fit(Surv(time, status) ~ ., data = lung)
expect_equal(
.get_prediction_column_names(surv_fit),
list(estimate = ".pred_time",
probabilities = c(".pred"))
)
expect_equal(
.get_prediction_column_names(surv_fit, syms = TRUE),
list(estimate = list(quote(.pred_time)),
probabilities = list(quote(.pred)))
)
})
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