Nothing

```
context("ppl - pipeline_targettrafo")
test_that("Target Trafo Pipeline", {
task = tsk("boston_housing")
tt = ppl("targettrafo", graph = PipeOpLearner$new(LearnerRegrRpart$new()))
tt$param_set$values$targetmutate.trafo = function(x) log(x, base = 2)
tt$param_set$values$targetmutate.inverter = function(x) list(response = 2 ^ x$response)
expect_graph(tt)
expect_true(length(tt$pipeops) == 1 + 1 + 1)
g = Graph$new()
g$add_pipeop(PipeOpTargetMutate$new(param_vals = list(
trafo = function(x) log(x, base = 2),
inverter = function(x) list(response = 2 ^ x$response))
)
)
g$add_pipeop(LearnerRegrRpart$new())
g$add_pipeop(PipeOpTargetInvert$new())
g$add_edge(src_id = "targetmutate", dst_id = "targetinvert", src_channel = 1L, dst_channel = 1L)
g$add_edge(src_id = "targetmutate", dst_id = "regr.rpart", src_channel = 2L, dst_channel = 1L)
g$add_edge(src_id = "regr.rpart", dst_id = "targetinvert", src_channel = 1L, dst_channel = 2L)
train_tt = tt$train(task)[[1L]]
predict_tt = tt$predict(task)[[1L]]
train_g = g$train(task)[[1L]]
predict_g = g$predict(task)[[1L]]
expect_equal(train_tt, train_g)
expect_equal(predict_tt, predict_g)
tt_g = ppl("targettrafo", graph = PipeOpPCA$new() %>>% PipeOpLearner$new(LearnerRegrRpart$new()))
tt_g$param_set$values$targetmutate.trafo = function(x) log(x, base = 2)
tt_g$param_set$values$targetmutate.inverter = function(x) list(response = 2 ^ x$response)
expect_graph(tt_g)
expect_true(length(tt_g$pipeops) == 1 + 1 + 1 + 1)
train_ttg = tt_g$train(task)
predict_ttg = tt_g$predict(task)
# IDs
tt_id = ppl("targettrafo", graph = PipeOpLearner$new(LearnerRegrRpart$new()), id_prefix = "test")
expect_equal(tt_id$ids(), c("regr.rpart", "targetmutate", "testtargetinvert"))
})
test_that("More Complex Target Trafo Pipelines", {
task = tsk("mtcars")
tt = pipeline_targettrafo((po("select") %>>% ppl("branch", list(lrn("regr.featureless"), lrn("regr.rpart")))))
expect_equal(tt$input$op.id, "targetmutate")
expect_equal(tt$output$op.id, "targetinvert")
tt$param_set$values$targetmutate.trafo = function(x) exp(x)
tt$param_set$values$targetmutate.inverter = function(x) log(x)
train_tt1 = tt$train(task)
expect_null(train_tt1[[1L]])
predict_tt1 = tt$predict(task)
expect_equal(unique(predict_tt1[[1L]]$response)[1L], log(mean(exp(task$data(cols = "mpg")[[1L]]))))
tt$param_set$values$branch.selection = 2L
train_tt2 = tt$train(task)
expect_null(train_tt2[[1L]])
predict_tt2 = tt$predict(task)
})
```

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