Nothing

```
context("PipeOpICA")
test_that("PipeOpICA - basic properties", {
task = mlr_tasks$get("iris")
expect_datapreproc_pipeop_class(PipeOpICA, task = task,
deterministic_train = FALSE)
op = PipeOpICA$new()
expect_pipeop(op)
set.seed(1234)
result = op$train(list(task))
expect_task(result[[1]])
expect_equal(result[[1]]$data(), op$predict(list(task))[[1]]$data())
})
test_that("PipeOpICA - compare to fastICA", {
# Default parameters
task = mlr_tasks$get("iris")
op = PipeOpICA$new()
expect_pipeop(op)
set.seed(1234)
result = op$train(list(task))
dt = task$data()[, 2:5]
n.comp = ncol(dt)
method = "C"
set.seed(1234)
fica = fastICA::fastICA(dt, n.comp = n.comp, method = method)
expect_equal(dim(fica$S), dim(result[[1]]$data()[, 2:5]))
expect_true(all(c("K", "W", "A", "center") %in% names(op$state)))
expect_identical(op$state[c("K", "W", "A")], fica[c("K", "W", "A")])
dtres = as.matrix(result[[1]]$data()[, 2:5])
dimnames(dtres) = NULL
expect_equal(dtres, fica$S)
# Change some parameters
op2 = PipeOpICA$new(param_vals = list(method = "R", alpha = 2))
expect_pipeop(op2, check_ps_default_values = FALSE)
set.seed(1234)
result2 = op2$train(list(task))
set.seed(1234)
fica2 = fastICA::fastICA(dt, n.comp = n.comp,
alpha = 2, method = "R")
expect_equal(dim(fica2$S), dim(result2[[1]]$data()[, 2:5]))
expect_true(all(c("K", "W", "A", "center") %in% names(op2$state)))
expect_identical(op2$state[c("K", "W", "A")], fica2[c("K", "W", "A")])
dtres = as.matrix(result2[[1]]$data()[, 2:5])
dimnames(dtres) = NULL
expect_equal(dtres, fica2$S)
})
```

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