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Extension Packages
This page collects packages or projects which extend mlr3.
Open an issue if you want your project listed here.
See this figure for an encompassing overview.
DataBackend for dplyr.
Allow tasks to transparently operate on various data storage systems, including SQL data bases, Apache Spark and Google’s BigQuery.
Additional learners for regression and classification.
Pipelines and DAGs for preprocessing and building complex workflows.
Hyperparameter tuning via random search, grid search, ...
Hyperparameter tuning via hyperband.
Hyperparameter tuning via model-based optimization (a.k.a. Bayesian optimization).
Variable selection filters.
Variable selection wrappers like sequential forward/backward search, exhaustive search or genetic algorithms.
Extensions for supervised probabilistic learning (this includes survival analysis).
Extensions for ordinal regression.
Extensions for visualization of mlr3 objects.
Extensions for resampling spatio-temporal tasks.
Implements the "hyperband" approach for hyperparameter tuning.
Meta-package for installing/loading mlr3 core packages.
Open an issue in the respective project if you are interested in starting or supporting the development.
Extensions for cluster analysis.
Extensions for functional data analysis.
Extensions for forecasting.
Extensions for deep learning via keras.
Extension to source additional learners from remote sources, like GitHub.
CI
Roxygen (Documentation)
Style
Misc