as.data.table

Re-export of <code>as.data.table</code>
See <a rd-options="data.table:as.data.table" href="/link/data.table%3A%3Aas.data.table?package=mlr3pipelines&version=0.1.1&to=data.table%3Aas.data.table" data-mini-rdoc="data.table:as.data.table::data.table::as.data.table">data.table::as.data.table</a>.

internal

Dataflow programming toolkit that enriches 'mlr3' with a diverse
set of pipelining operators ('PipeOps') that can be composed into graphs.
Operations exist for data preprocessing, model fitting, and ensemble
learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can
therefore be resampled, benchmarked, and tuned.

Martin Binder

mlr3pipelines

Preprocessing Operators and Pipelines for 'mlr3'

Florian Pfisterer

Bernd Bischl

Michel Lang

Susanne Dandl

as.data.table function

Re-export of <code>as.data.table</code>
See <a rd-options='data.table:as.data.table' href='data.table::as.data.table'>data.table::as.data.table</a>.

Re-export of <code>as.data.table</code>

See <a rd-options='data.table:as.data.table' href='data.table::as.data.table'>data.table::as.data.table</a>. — as.data.table

Re-export of <code>as.data.table</code>

See <a rd-options='data.table:as.data.table' href='data.table::as.data.table'>data.table::as.data.table</a>.

Re-export of <code>as.data.table</code>See <a rd-options="data.table:as.data.table" href="/link/data.table%3A%3Aas.data.table?package=mlr3pipelines&version=0.1.1&to=data.table%3Aas.data.table" data-mini-rdoc="data.table:as.data.table::data.table::as.data.table">data.table::as.data.table</a>.

as.data.table: Re-export of `as.data.table`
See data.table::as.data.table.

Description

Arguments