Nothing
library(tidyverse)
library(tidymodels)
library(SSLR)
context("Testing MCNearestMeanClassifierSSLR")
source("breast.R")
source("helpers.R")
m <- MCNearestMeanClassifierSSLR()
test_that(
desc = "MCNearestMeanClassifierSSLR model",
code = {
expect_is(m,"model_sslr")
}
)
test_that(
desc = "MCNearestMeanClassifierSSLR args",
code = {
expect_equal(m$args$prior,NULL)
expect_equal(m$args$x_center,FALSE)
expect_equal(m$args$update_sigma,FALSE)
expect_equal(m$args$scale,FALSE)
}
)
model <- m %>% fit(Class ~ ., data = breast$train)
test_that(
desc = "MCNearestMeanClassifierSSLR fit",
code = {
expect_is(model,"model_sslr_fitted")
expect_equal(model$model$mode,"classification")
}
)
test_that(
desc = "MCNearestMeanClassifierSSLR predictions data frame",
code = {
predictions_frame <- predict(model,breast$test)
expect_is(predictions_frame,"data.frame")
}
)
test_that(
desc = "MCNearestMeanClassifierSSLR predictions factor",
code = {
predictions_factor <- predict(model,breast$test, type = "raw")
expect_is(predictions_factor,"factor")
expect_equal(length(predictions_factor),nrow(breast$test))
}
)
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