Nothing
test_that("nested_model_fit + axe_() works", {
skip_if_not_installed("parsnip")
skip_if_not_installed("nestedmodels")
model <- nestedmodels::nested(
parsnip::set_engine(parsnip::linear_reg(), "lm")
)
# tidyr is a dependency of nestedmodels
nested_data <- tidyr::nest(nestedmodels::example_nested_data, data = -id)
nm_fit <- parsnip::fit(model, z ~ x + y + a + b, nested_data)
x <- axe_call(nm_fit)
expect_equal(x$fit$.model_fit[[1]], axe_call(nm_fit$fit$.model_fit[[1]]))
x <- axe_ctrl(nm_fit)
expect_equal(x$fit$.model_fit[[1]], axe_ctrl(nm_fit$fit$.model_fit[[1]]))
x <- axe_data(nm_fit)
expect_equal(x$fit$.model_fit[[1]], axe_data(nm_fit$fit$.model_fit[[1]]))
x <- axe_env(nm_fit)
expect_equal(x$fit$.model_fit[[1]], axe_env(nm_fit$fit$.model_fit[[1]]))
x <- axe_fitted(nm_fit)
expect_equal(x$fit$.model_fit[[1]], axe_fitted(nm_fit$fit$.model_fit[[1]]))
expect_equal(
attr(x, "butcher_disabled"),
attr(x$fit$.model_fit[[5]]$fit, "butcher_disabled")
)
x <- butcher(nm_fit)
expect_equal(
attr(x, "butcher_disabled"),
attr(x$fit$.model_fit[[1]]$fit, "butcher_disabled")
)
expect_equal(x$fit$.model_fit[[1]], butcher(nm_fit$fit$.model_fit[[1]]))
# Predict
expect_equal(
predict(x, nestedmodels::example_nested_data),
predict(nm_fit, nestedmodels::example_nested_data)
)
})
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