mlr: Machine Learning in R

Canonical link: https://scholar.rpkg.net/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

2.19.1 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
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 0.5.0)	2021
ChemoSpec2D: Exploratory Chemometrics for 2D Spectroscopy (Version 0.5.0)	2018
DALEXtra: Extension for 'DALEX' Package (Version 2.3.0)	2019
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 0.1.2)	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 0.11.2)	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
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 3.6.3)	2011
r2pmml: Convert R Models to PMML (Version 0.27.1)	2019
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 0.2.8)	2021

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