Create mlr-Task from Data

Both create.regr.task and create.classif.task take a numeric target column Y, but create.classif.task binarizes it on cutoff to create a classification task, while create.regr.task creates a regression task.

create.regr.task(id, data)

create.classif.task(id, data, cutoff = 0)

Arguments

id	[character(1)] ID to use for Task.
data	[named list] with columns entries $X, $Y, and $orig.features.
cutoff	[numeric(1)] cutoff at which to binarize target.

Value

Task

See also

Other Artificial Datasets: clonetask(), create.hypersphere.data(), create.linear.data(), create.linear.toy.data(), task.add.permuted.cols(), task.add.random.cols()

Other Artificial Datasets: clonetask(), create.hypersphere.data(), create.linear.data(), create.linear.toy.data(), task.add.permuted.cols(), task.add.random.cols()