skip_if_not_installed("xgboost") skip_if_not_installed("plumber") library(plumber) set.seed(123) cars_xgb <- xgboost::xgboost(as.matrix(mtcars[,-1]), mtcars$mpg, nrounds = 3, objective = "reg:squarederror") v <- vetiver_model(cars_xgb, "cars2") test_that("can print xgboost model", { expect_snapshot(v) }) test_that("can predict xgboost model", { cars_matrix <- as.matrix(mtcars[,-1]) preds <- predict(v, cars_matrix) expect_equal(length(preds), 32) preds2 <- predict(cars_xgb, cars_matrix) expect_equal(preds, preds2) }) test_that("can pin an xgboost model", { b <- board_temp() vetiver_pin_write(b, v) pinned <- pin_read(b, "cars2") expect_equal( pinned, list( model = bundle::bundle(cars_xgb), prototype = vctrs::vec_slice(tibble::as_tibble(mtcars[,2:11]), 0) ) ) expect_equal( pin_meta(b, "cars2")$user$required_pkgs, "xgboost" ) }) test_that("default endpoint for xgboost", { p <- pr() %>% vetiver_api(v) p_routes <- p$routes[-1] expect_api_routes(p_routes) }) test_that("default OpenAPI spec", { v$metadata <- list(url = "potatoes") p <- pr() %>% vetiver_api(v) car_spec <- p$getApiSpec() expect_equal(car_spec$info$description, "An xgboost reg:squarederror model") post_spec <- car_spec$paths$`/predict`$post expect_equal(names(post_spec), c("summary", "requestBody", "responses")) expect_equal(as.character(post_spec$summary), "Return predictions from model using 10 features") get_spec <- car_spec$paths$`/pin-url`$get expect_equal(as.character(get_spec$summary), "Get URL of pinned vetiver model") }) test_that("create plumber.R for xgboost", { skip_on_cran() b <- board_folder(path = tmp_dir) vetiver_pin_write(b, v) tmp <- tempfile() vetiver_write_plumber(b, "cars2", file = tmp) expect_snapshot( cat(readr::read_lines(tmp), sep = "\n"), transform = redact_vetiver ) })