mlr-org/mlr3
A machine learning framework for R providing object-oriented interfaces for training, evaluation, and orchestration of ML models.
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mlr3 is an R package serving as the successor to the popular mlr library, providing efficient object-oriented abstractions for the core building blocks of machine learning. It offers standardized interfaces for learners, tasks, and resampling strategies, enabling classification, regression, and other supervised learning workflows in R.
Frequently asked
- What is mlr-org/mlr3?
- A machine learning framework for R providing object-oriented interfaces for training, evaluation, and orchestration of ML models.
- Is mlr3 open source?
- Yes — mlr-org/mlr3 is open source, released under the LGPL-3.0 license.
- What language is mlr3 written in?
- mlr-org/mlr3 is primarily written in R.
- How popular is mlr3?
- mlr-org/mlr3 has 1.1k stars on GitHub.
- Where can I find mlr3?
- mlr-org/mlr3 is on GitHub at https://github.com/mlr-org/mlr3.