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