Title: Filter Based Feature Selection for 'mlr3'
Description: Extends 'mlr3' with filter methods for feature
selection. Besides standalone filter methods built-in methods of any
machine-learning algorithm are supported.  Partial scoring of
multivariate filter methods is supported.
Imports: backports, checkmate, data.table, mlr3 (>= 0.1.2), mlr3misc,
Suggests: care, FSelectorRcpp, lgr, mlr3learners, praznik, rpart,
Collate: 'Filter.R' 'mlr_filters.R' 'FilterAUC.R' 'FilterAnova.R'
Packaged: 2019-09-03 08:43:39 UTC; patrickschratz

Suggests: care, FSelectorRcpp, lgr, mlr3learners, mlr3measures,
Packaged: 2019-12-08 13:25:47 UTC; patrickschratz

Suggests: care, caret, FSelectorRcpp, lgr, mlr3learners, mlr3measures,

Imports: backports, checkmate, data.table, mlr3 (>= 0.1.8), mlr3misc,

Description: Extends 'mlr3' with filter methods for feature selection.
Besides standalone filter methods built-in methods of any

person("Martin", "Binder", , "mlr.developer@mb706.com", role = "aut")
Imports: backports, checkmate, data.table, mlr3 (>= 0.12.0), mlr3misc,
Suggests: care, caret, FSelectorRcpp, knitr, lgr, mlr3learners,
mlr3measures, praznik, rpart, testthat (>= 3.0.0)
'bibentries.R' 'flt.R' 'helper.R' 'reexports.R' 'zzz.R'

Suggests: care, caret, carSurv, FSelectorRcpp, knitr, lgr,
mlr3learners, mlr3measures, mlr3pipelines, praznik, rpart,

Description: Implements methods for feature selection with
'mlr3', e.g.  random search and sequential selection. Various
termination criteria can be set and combined. The class 'AutoFSelect'
provides a convenient way to perform nested resampling in combination
Imports: bbotk (>= 0.2.0), checkmate (>= 2.0.0), data.table, lgr, mlr3,
Author: Marc Becker [aut, cre] (<https://orcid.org/0000-0002-8115-0400>),

termination criteria can be set and combined. The class
'AutoFSelector' provides a convenient way to perform nested resampling
Imports: bbotk (>= 0.2.0), checkmate (>= 2.0.0), data.table, lgr, mlr3
(>= 0.7.0), mlr3misc, mlr3pipelines (>= 0.3.0), paradox (>=

Imports: bbotk (>= 0.3.0), checkmate (>= 2.0.0), data.table, lgr, mlr3
Suggests: genalg, rpart, testthat (>= 3.0.0)