This is the Linux app named mlr3 whose latest release can be downloaded as mlr31.2.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
mlr3
DESCRIPTION:
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
Programming Language
R
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/mlr3.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.