library(LRMF3)
# arguments that i haven't tested yet: k, tau_row, tau_col
# also x itself / different types of input
# other test: recover A with k = rank(A)
# recover A when using transformations
# four options: center, recenter, degree_normalize, renormalize
# 16 options total, but can only recenter or renormalize after centering
# or scaling in the first place, expect errors in those cases
test_that("vsp.Matrix defaults", {
expect_silent(
vsp(ml100k, rank = 5)
)
})
test_that("vsp.Matrix FFFF", {
expect_silent(
vsp(
ml100k,
rank = 5,
center = FALSE,
recenter = FALSE,
degree_normalize = FALSE,
renormalize = FALSE
)
)
})
test_that("vsp.Matrix FFFT", {
expect_error(
vsp(
ml100k,
rank = 5,
center = FALSE,
recenter = FALSE,
degree_normalize = FALSE,
renormalize = TRUE
),
regexp = "`renormalize` must be FALSE when `degree_normalize` is FALSE."
)
})
test_that("vsp.Matrix FFTF", {
expect_silent(
vsp(
ml100k,
rank = 5,
center = FALSE,
recenter = FALSE,
degree_normalize = TRUE,
renormalize = FALSE
)
)
})
test_that("vsp.Matrix FFTT", {
expect_silent(
vsp(
ml100k,
rank = 5,
center = FALSE,
recenter = FALSE,
degree_normalize = TRUE,
renormalize = TRUE
)
)
})
test_that("vsp.Matrix FTFF", {
expect_error(
vsp(
ml100k,
rank = 5,
center = FALSE,
recenter = TRUE,
degree_normalize = FALSE,
renormalize = FALSE
),
regexp = "`recenter` must be FALSE when `center` is FALSE."
)
})
test_that("vsp.Matrix FTFT", {
expect_error(
vsp(
ml100k,
rank = 5,
center = FALSE,
recenter = TRUE,
degree_normalize = FALSE,
renormalize = TRUE
),
regexp = "`recenter` must be FALSE when `center` is FALSE."
)
})
test_that("vsp.Matrix FTTF", {
expect_error(
vsp(
ml100k,
rank = 5,
center = FALSE,
recenter = TRUE,
degree_normalize = TRUE,
renormalize = FALSE
),
regexp = "`recenter` must be FALSE when `center` is FALSE."
)
})
test_that("vsp.Matrix FTTT", {
expect_error(
vsp(
ml100k,
rank = 5,
center = FALSE,
recenter = TRUE,
degree_normalize = TRUE,
renormalize = TRUE
),
regexp = "`recenter` must be FALSE when `center` is FALSE."
)
})
test_that("vsp.Matrix TFFF", {
expect_silent(
vsp(
ml100k,
rank = 5,
center = TRUE,
recenter = FALSE,
degree_normalize = FALSE,
renormalize = FALSE
)
)
})
test_that("vsp.Matrix TFFT", {
expect_error(
vsp(
ml100k,
rank = 5,
center = TRUE,
recenter = FALSE,
degree_normalize = FALSE,
renormalize = TRUE
),
regexp = "`renormalize` must be FALSE when `degree_normalize` is FALSE."
)
})
test_that("vsp.Matrix TFTF", {
expect_silent(
vsp(
ml100k,
rank = 5,
center = TRUE,
recenter = FALSE,
degree_normalize = TRUE,
renormalize = FALSE
)
)
})
test_that("vsp.Matrix TFTT", {
expect_silent(
vsp(
ml100k,
rank = 5,
center = TRUE,
recenter = FALSE,
degree_normalize = TRUE,
renormalize = TRUE
)
)
})
test_that("vsp.Matrix TTFF", {
expect_silent(
vsp(
ml100k,
rank = 5,
center = TRUE,
recenter = TRUE,
degree_normalize = FALSE,
renormalize = FALSE
)
)
})
test_that("vsp.Matrix TTFT", {
expect_error(
vsp(
ml100k,
rank = 5,
center = TRUE,
recenter = TRUE,
degree_normalize = FALSE,
renormalize = TRUE
),
regexp = "`renormalize` must be FALSE when `degree_normalize` is FALSE."
)
})
test_that("vsp.Matrix TTTF", {
expect_silent(
vsp(
ml100k,
rank = 5,
center = TRUE,
recenter = TRUE,
degree_normalize = TRUE,
renormalize = FALSE
)
)
})
test_that("vsp.Matrix TTTT", {
expect_silent(
vsp(
ml100k,
rank = 5,
center = TRUE,
recenter = TRUE,
degree_normalize = TRUE,
renormalize = TRUE
)
)
})
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