test_that("augment() works", { skip_if_not_installed("recipes") skip_if_not_installed("tidypredict") skip_if_not_installed("workflows") mtcars <- dplyr::as_tibble(mtcars) rec_spec <- recipes::recipe(mpg ~ ., data = mtcars) %>% recipes::step_normalize(recipes::all_numeric_predictors()) lm_spec <- parsnip::linear_reg() wf_spec <- workflows::workflow() %>% workflows::add_recipe(rec_spec) %>% workflows::add_model(lm_spec) wf_fit <- parsnip::fit(wf_spec, mtcars) obj <- orbital(wf_fit) res <- augment(obj, mtcars) exp <- dplyr::bind_cols( predict(obj, mtcars), mtcars ) expect_identical(res, exp) }) test_that("spark - augment() works", { # Doesn't work because tables can't row_number() easily }) test_that("SQLite - augment() works", { skip_if_not_installed("recipes") skip_if_not_installed("tidypredict") skip_if_not_installed("workflows") skip_if_not_installed("DBI") skip_if_not_installed("RSQLite") mtcars <- dplyr::as_tibble(mtcars) rec_spec <- recipes::recipe(mpg ~ ., data = mtcars) %>% recipes::step_normalize(recipes::all_numeric_predictors()) lm_spec <- parsnip::linear_reg() wf_spec <- workflows::workflow() %>% workflows::add_recipe(rec_spec) %>% workflows::add_model(lm_spec) wf_fit <- parsnip::fit(wf_spec, mtcars) obj <- orbital(wf_fit) con <- DBI::dbConnect(RSQLite::SQLite(), path = ":memory:") mtcars_tbl <- dplyr::copy_to(con, mtcars) res <- augment(obj, mtcars_tbl) exp <- dplyr::bind_cols( predict(obj, mtcars), mtcars ) expect_s3_class(res, "tbl_lazy") expect_identical(dplyr::collect(res), exp) DBI::dbDisconnect(con) }) test_that("duckdb - augment() works", { skip_if_not_installed("recipes") skip_if_not_installed("tidypredict") skip_if_not_installed("workflows") skip_if_not_installed("DBI") skip_if_not_installed("duckdb") mtcars <- dplyr::as_tibble(mtcars) rec_spec <- recipes::recipe(mpg ~ ., data = mtcars) %>% recipes::step_normalize(recipes::all_numeric_predictors()) lm_spec <- parsnip::linear_reg() wf_spec <- workflows::workflow() %>% workflows::add_recipe(rec_spec) %>% workflows::add_model(lm_spec) wf_fit <- parsnip::fit(wf_spec, mtcars) obj <- orbital(wf_fit) con <- DBI::dbConnect(duckdb::duckdb(dbdir = ":memory:")) mtcars_tbl <- dplyr::copy_to(con, mtcars) res <- augment(obj, mtcars_tbl) exp <- dplyr::bind_cols( predict(obj, mtcars), mtcars ) expect_identical(dplyr::collect(res), exp) DBI::dbDisconnect(con) }) test_that("arrow - augment() works", { # Doesn't work, getting the following warning: # Warning: Expression row_number() not supported in Arrow; pulling data into R })