mlr3 download | SourceForge.net

mlr3 is a modern, object-oriented R framework for machine learning. It provides core abstractions (tasks, learners, resamplings, measures, pipelines) implemented using R6 classes, enabling extensible, composable machine learning workflows. It focuses on clean design, scalability (large datasets), and integration into the wider R ecosystem via extension packages. Users can do classification, regression, survival analysis, clustering, hyperparameter tuning, benchmarking etc., often via companion packages.

Features

Clean object-oriented design via R6, separating tasks, learners, resampling etc for modular workflows
Efficient handling of large data: use of data.table, support for out-of-memory backends (e.g. databases)
Parallelization support for learners, resampling, benchmarking etc via future / parallel backends
Rich ecosystem: many extension packages for visualization, additional learners, pipelines, filters etc
Measures and performance evaluation built in: classification, regression, survival etc with standard metrics and capacity to compute custom measures
Support for benchmarking experiments, nested resampling, hyperparameter tuning etc through add-on packages

Project Samples

Project Activity

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License

GNU Library or Lesser General Public License version 3.0 (LGPLv3)

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Related Categories

R Machine Learning Software

Registered

2025-09-12

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