Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of
machine learning. Provides 'R6' objects for tasks, learners, resamplings,
and measures. The package is geared towards scalability and larger datasets
by supporting parallelization and out-of-memory data-backends like
databases. While 'mlr3' focuses on the core computational operations,
add-on packages provide additional functionality.
Imports: backports, checkmate (>= 1.9.3), data.table, digest, lgr (>=
0.3.0), Metrics, mlbench, mlr3misc (>= 0.1.1), paradox, R6
Suggests: callr, datasets, devtools, evaluate, future (>= 1.9.0),
future.apply (>= 1.1.0), future.callr, Matrix, rpart, testthat,

0.3.0), Metrics, mlbench, mlr3misc (>= 0.1.3), paradox, R6
Suggests: callr, datasets, evaluate, future (>= 1.9.0), future.apply
(>= 1.1.0), future.callr, Matrix, rpart, testthat, titanic
'mlr_sugar.R' 'reexports.R' 'resample.R' 'worker.R' 'zzz.R'

0.3.0), Metrics, mlbench, mlr3misc (>= 0.1.3), paradox, uuid,

0.3.0), Metrics, mlbench, mlr3misc (>= 0.1.5), paradox, uuid,
Suggests: bibtex, callr, datasets, evaluate, future (>= 1.9.0),

Description: Efficient, object-oriented programming on the
building blocks of machine learning. Provides 'R6' objects for tasks,
learners, resamplings, and measures. The package is geared towards
scalability and larger datasets by supporting parallelization and
out-of-memory data-backends like databases. While 'mlr3' focuses on
the core computational operations, add-on packages provide additional

Imports: R6, backports, checkmate (>= 1.9.3), data.table, digest, lgr
Suggests: Matrix, bibtex, callr, datasets, evaluate, future (>= 1.9.0),
future.apply (>= 1.1.0), future.callr, progressr, rpart,

Imports: R6 (>= 2.4.1), backports, checkmate (>= 2.0.0), data.table (>=
mlbench, mlr3measures (>= 0.3.0), mlr3misc (>= 0.7.0), paradox
Suggests: Matrix, callr, datasets, distr6, evaluate, future,
future.callr, mlr3data, progressr, rpart, testthat (>= 3.0.0)

mlbench, mlr3measures (>= 0.3.0), mlr3misc (>= 0.7.0),
parallelly, palmerpenguins, paradox (>= 0.6.0), uuid
'helper.R' 'mlr_sugar.R' 'predict.R' 'reexports.R' 'resample.R'