Nothing
test_that("ksvm + axe_() works", {
skip_on_cran()
skip_if_not_installed("parsnip")
skip_if_not_installed("kernlab")
# Load
suppressPackageStartupMessages(library(parsnip))
suppressPackageStartupMessages(library(kernlab))
# Data
data(spam)
# Fit
# Suppress cat() message about "Setting default kernel parameters"
capture.output({
ksvm_class <- svm_poly(mode = "classification") %>%
set_engine("kernlab") %>%
fit(type ~ ., data = spam)
})
x <- axe_call(ksvm_class)
expect_equal(x$fit@kcall, rlang::expr(dummy_call()))
x <- axe_fitted(ksvm_class)
expect_equal(x$fit@fitted, numeric(0))
x <- axe_data(ksvm_class)
expect_equal(x$fit@ymatrix, numeric(0))
x <- butcher(ksvm_class)
# Predict
expected_output <- predict(ksvm_class, spam[,-58])
new_output <- predict(x, spam[,-58])
expect_equal(new_output, expected_output)
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.