mlr: Machine Learning in R

Canonical link: https://rscholar.com/pkg/mlr

Bernd Bischl • Michel Lang • Lars Kotthoff • Patrick Schratz • Julia Schiffner • Jakob Richter • Zachary Jones • Giuseppe Casalicchio • Mason Gallo • Jakob Bossek • Erich Studerus • Leonard Judt • Tobias Kuehn • Pascal Kerschke • Florian Fendt • Philipp Probst • Xudong Sun • Janek Thomas • Bruno Vieira • Laura Beggel • Quay Au • Martin Binder • Florian Pfisterer • Stefan Coors • Steve Bronder • Alexander Engelhardt • Christoph Molnar • Annette Spooner • View description and downloads View dependencies GitHub project

2013 Published

2.19.2 Version

0 Citations

28 Authors

Referenced by ⇅	Year
DriveML: Self-Drive Machine Learning Projects (Version 0.1.5)	2020
modelplotr: Plots to Evaluate the Business Performance of Predictive Models (Version 1.1.0)	2019
mosmafs: Multi-Objective Simultaneous Model and Feature Selection (Version 0.1.2-1)	2020
SPOTMisc: Misc Extensions for the "SPOT" Package (Version 1.19.52)	2021
ChemoSpec2D: Exploratory Chemometrics for 2D Spectroscopy (Version 0.5.0)	2018
DALEXtra: Extension for 'DALEX' Package (Version 2.3.0)	2019
EFAfactors: Determining the Number of Factors in Exploratory Factor Analysis (Version 1.1.0)	2024
OOBCurve: Out of Bag Learning Curve (Version 0.3)	2017
OpenML: Open Machine Learning and Open Data Platform (Version 1.12)	2016
RBPcurve: The Residual-Based Predictiveness Curve (Version 1.2)	2015
aslib: Interface to the Algorithm Selection Benchmark Library (Version 0.1.2)	2020
bnclassify: Learning Discrete Bayesian Network Classifiers from Data (Version 0.4.8)	2015
condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)	2019
counterfactuals: Counterfactual Explanations (Version 0.1.6)	2023
ecr: Evolutionary Computation in R (Version 2.1.1)	2016
featurefinder: Feature Finder (Version 1.1)	2018
flacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems (Version 1.8)	2015
iml: Interpretable Machine Learning (Version 0.11.3)	2018
ipfr: List Balancing for Reweighting and Population Synthesis (Version 1.0.2)	2019
irace: Iterated Racing for Automatic Algorithm Configuration (Version 3.5)	2012
latentFactoR: Data Simulation Based on Latent Factors (Version 0.0.6)	2022
lime: Local Interpretable Model-Agnostic Explanations (Version 0.5.3)	2017
live: Local Interpretable (Model-Agnostic) Visual Explanations (Version 1.5.13)	2018
llama: Leveraging Learning to Automatically Manage Algorithms (Version 0.10.1)	2013
mlrCPO: Composable Preprocessing Operators and Pipelines for Machine Learning (Version 0.3.7-7)	2018
mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)	2017
mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO' (Version 0.5.1-1)	2021
nsga3: An Implementation of Non-Dominated Sorting Genetic Algorithm III for Feature Selection (Version 0.0.3)	2019
plotmo: Plot a Model's Residuals, Response, and Partial Dependence Plots (Version 3.6.4)	2011
r2pmml: Convert R Models to PMML (Version 0.28.0)	2019
roseRF: ROSE Random Forests for Robust Semiparametric Efficient Estimation (Version 0.1.0)	2024
seqimpute: Imputation of Missing Data in Sequence Analysis (Version 2.0.0)	2022
tramnet: Penalized Transformation Models (Version 0.0-8)	2020
tuneRanger: Tune Random Forest of the 'ranger' Package (Version 0.7)	2018
varycoef: Modeling Spatially Varying Coefficients (Version 0.3.4)	2019
vip: Variable Importance Plots (Version 0.4.1)	2018
vivid: Variable Importance and Variable Interaction Displays (Version 0.2.9)	2021

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.