CRAN/E | mlr3pipelines

mlr3pipelines

Preprocessing Operators and Pipelines for 'mlr3'

Installation

About

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.

Citation mlr3pipelines citation info
mlr3pipelines.mlr-org.com
github.com/mlr-org/mlr3pipelines
Bug report File report

Key Metrics

Version 0.5.1
R ≥ 3.1.0
Published 2024-03-26 3 days ago
Needs compilation? no
License LGPL-3
CRAN checks mlr3pipelines results

Downloads

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Last 30 days 4.262 +20%
Last 90 days 14.208 +38%
Last 365 days 42.761 +26%

Maintainer

Maintainer

Martin Binder

mlr.developer@mb706.com

Authors

Martin Binder

aut / cre

Florian Pfisterer

aut

Lennart Schneider

aut

Bernd Bischl

aut

Michel Lang

aut

Sebastian Fischer

ctb

Susanne Dandl

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Adding new PipeOps

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mlr3pipelines archive

Depends

R ≥ 3.1.0

Imports

backports
checkmate
data.table
digest
lgr
mlr3 ≥0.6.0
mlr3misc ≥ 0.9.0
paradox
R6
withr

Suggests

ggplot2
glmnet
igraph
knitr
lme4
mlbench
bbotk ≥0.3.0
mlr3filters ≥ 0.1.1
mlr3learners
mlr3measures
nloptr
quanteda
rmarkdown
rpart
stopwords
testthat
visNetwork
bestNormalize
fastICA
kernlab
smotefamily
evaluate
NMF
MASS
kknn
GenSA
methods
vtreat
future

Reverse Depends

NADIA

Reverse Imports

mcboost
mlr3fairness
mlr3shiny
mlr3verse
sense
spFSR

Reverse Suggests

counterfactuals
DoubleML
mlr3filters
mlr3fselect
mlr3hyperband
mlr3mbo
mlr3spatiotempcv
mlr3tuning
mlrintermbo