CRAN/E | mlr

mlr

Machine Learning in R

Installation

About

Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern optimization techniques, for single- and multi-objective problems. Filter and wrapper methods for feature selection. Extension of basic learners with additional operations common in machine learning, also allowing for easy nested resampling. Most operations can be parallelized.

Citation mlr citation info
mlr.mlr-org.com
github.com/mlr-org/mlr
System requirements gdal (optional), geos (optional), proj (optional), udunits (optional), gsl (optional), gmp (optional), glu (optional), jags (optional), mpfr (optional), openmpi (optional)
Bug report File report

Key Metrics

Version 2.19.1
R ≥ 3.0.2
Published 2022-09-29 546 days ago
Needs compilation? yes
License BSD_2_clause
License File
CRAN checks mlr results

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Maintainer

Maintainer

Patrick Schratz

patrick.schratz@gmail.com

Authors

Bernd Bischl

aut

Michel Lang

aut

Lars Kotthoff

aut

Patrick Schratz

aut / cre

Julia Schiffner

aut

Jakob Richter

aut

Zachary Jones

aut

Giuseppe Casalicchio

aut

Mason Gallo

aut

Jakob Bossek

ctb

Erich Studerus

ctb

Leonard Judt

ctb

Tobias Kuehn

ctb

Pascal Kerschke

ctb

Florian Fendt

ctb

Philipp Probst

ctb

Xudong Sun

ctb

Janek Thomas

ctb

Bruno Vieira

ctb

Laura Beggel

ctb

Quay Au

ctb

Martin Binder

ctb

Florian Pfisterer

ctb

Stefan Coors

ctb

Steve Bronder

ctb

Alexander Engelhardt

ctb

Christoph Molnar

ctb

Annette Spooner

ctb

Material

NEWS
Reference manual
Package source

Vignettes

mlr

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mlr archive

Depends

ParamHelpers ≥ 1.10
R ≥ 3.0.2

Imports

backports ≥ 1.1.0
BBmisc ≥ 1.11
checkmate ≥ 1.8.2
data.table ≥ 1.12.4
ggplot2
methods
parallelMap ≥ 1.3
stats
stringi
survival
utils
XML

Suggests

ada
adabag
bartMachine
batchtools
bit64
brnn
bst
C50
care
caret ≥ 6.0-57
class
clue
cluster
ClusterR
clusterSim ≥ 0.44-5
cmaes
cowplot
crs
Cubist
deepnet
DiceKriging
e1071
earth
elasticnet
emoa
evtree
fda.usc
FDboost
FNN
forecast ≥ 8.3
fpc
frbs
FSelector
FSelectorRcpp ≥ 0.3.5
gbm
GenSA
ggpubr
glmnet
GPfit
h2o ≥ 3.6.0.8
Hmisc
irace ≥ 2.0
kernlab
kknn
klaR
knitr
laGP
LiblineaR
lintr ≥ 1.0.0.9001
MASS
Load all 104 items
(warning: might lead to performance issues and take some time)

Reverse Depends

llama
mlrCPO
mlrMBO
OOBCurve
RBPcurve
spFSR

Reverse Imports

aslib
DriveML
flacco
ipfr
live
mosmafs
nsga3
seqimpute
SPOTMisc
tramnet
tuneRanger
varycoef

Reverse Suggests

bnclassify
ChemoSpec2D
condvis2
DALEXtra
featurefinder
iml
irace
lime
mlrintermbo
modelplotr
nntrf
plotmo
r2pmml
vip
vivid