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tests/testthat/test_base_estimateResidualVariance.R
In mlr: Machine Learning in R
test_that("estimateResidualVariance", {
set.seed(getOption("mlr.debug.seed"))
task = regr.task
lrn = makeLearner("regr.lm")
x1 = estimateResidualVariance(lrn, task)
x2 = estimateResidualVariance(lrn, data = regr.df, target = regr.target)
expect_equal(round(x1, 4), 21.9382)
expect_equal(x1, x2)
})
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mlr documentation built on Sept. 29, 2022, 5:05 p.m.
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test_that("estimateResidualVariance", {
set.seed(getOption("mlr.debug.seed"))
task = regr.task
lrn = makeLearner("regr.lm")
x1 = estimateResidualVariance(lrn, task)
x2 = estimateResidualVariance(lrn, data = regr.df, target = regr.target)
expect_equal(round(x1, 4), 21.9382)
expect_equal(x1, x2)
})
Try the mlr package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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