Nothing
library(tidyverse)
library(tidymodels)
library(SSLR)
context("Testing triTraining")
source("wine.R")
rf <- rand_forest(trees = 100, mode = "classification") %>%
set_engine("randomForest")
m <- triTraining(learner = rf)
test_that(
desc = "triTraining model",
code = {
expect_is(m,"model_sslr")
}
)
model <- m %>% fit(Wine ~ ., data = wine$train)
test_that(
desc = "triTraining fit",
code = {
expect_is(model,"model_sslr_fitted")
expect_equal(model$model$mode,"classification")
}
)
test_that(
desc = "triTraining predictions data frame",
code = {
predictions_frame <- predict(model,wine$test)
expect_is(predictions_frame,"data.frame")
}
)
test_that(
desc = "triTraining predictions factor",
code = {
predictions_factor <- predict(model,wine$test, type = "raw")
expect_is(predictions_factor,"factor")
expect_equal(length(predictions_factor),nrow(wine$test))
}
)
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