Extension Packages

This page collects packages or projects which extend mlr3. Open an issue if you want your project listed here.

Overview

See this figure for an encompassing overview.

Started

mlr3db

DataBackend for dplyr. Allow tasks to transparently operate on various data storage systems, including SQL data bases, Apache Spark and Google’s BigQuery.

mlr3learners

Additional learners for regression and classification.

mlr3pipelines

Pipelines and DAGs for preprocessing and building complex workflows.

mlr3tuning

Hyperparameter tuning via random search, grid search, ...

mlr3hyperband

Hyperparameter tuning via hyperband.

mlr3mbo

Hyperparameter tuning via model-based optimization (a.k.a. Bayesian optimization).

mlr3filters

Variable selection filters.

mlr3fselect

Variable selection wrappers like sequential forward/backward search, exhaustive search or genetic algorithms.

mlr3proba

Extensions for supervised probabilistic learning (this includes survival analysis).

mlr3ordinal

Extensions for ordinal regression.

mlr3viz

Visualization of mlr3 objects.

mlr3spatiotempcv

Extensions for resampling spatio-temporal tasks.

mlr3verse

Meta-package for installing/loading mlr3 core packages.

mlr3forecasting

Extensions for time-series forecasting.

mlr3keras

Extensions for deep learning via keras.

Planned

Open an issue in the respective project if you are interested in starting or supporting the development.

mlr3cluster

Extensions for cluster analysis.

mlr3fda

Extensions for functional data analysis.

mlr3extralearners

Extension to source additional learners from remote sources, like GitHub.