| clonetask | R Documentation |
Create new task identical to the old one, but with newdata instead
of old data. This should either preserve the orig.features of the
original task, or should add new noise-features, in which case orig.features
should mark the features that correspond to the full original task.
clonetask( task, newdata, newid, orig.features = rep(TRUE, ncol(newdata) - length(getTaskTargetNames(task))) )
task |
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newdata |
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newid |
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orig.features |
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Task
Other Artificial Datasets:
create.hypersphere.data(),
create.linear.data(),
create.linear.toy.data(),
create.regr.task(),
task.add.permuted.cols(),
task.add.random.cols()
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