mlr3 and mlr3proba

mlr3proba is a specialized extension package that adds probabilistic prediction capabilities (survival analysis, density estimation, distributional regression) to mlr3's core machine learning framework, making them complements designed to be used together.

mlr3
65
Established
mlr3proba
54
Established
Maintenance 20/25
Adoption 10/25
Maturity 16/25
Community 19/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 18/25
Stars: 1,060
Forks: 96
Downloads:
Commits (30d): 9
Language: R
License: LGPL-3.0
Stars: 147
Forks: 23
Downloads:
Commits (30d): 0
Language: R
License: LGPL-3.0
No Package No Dependents
No Package No Dependents

About mlr3

mlr-org/mlr3

mlr3: Machine Learning in R - next generation

Built on R6 object-oriented classes and data.table for efficient computation, mlr3 provides modular building blocks for tasks, learners, and resampling strategies that can be composed and extended through a rich ecosystem of packages like mlr3tuning, mlr3pipelines, and mlr3learners. The architecture prioritizes extensibility by keeping the core lightweight while delegating specialized functionality (visualization, additional learners, autoML) to optional extension packages. Integrates with standard R workflows via checkmate for type safety and supports diverse learner backends through a unified interface.

About mlr3proba

mlr-org/mlr3proba

Probabilistic Learning for mlr3

Scores updated daily from GitHub, PyPI, and npm data. How scores work