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This page collects packages or projects which extend
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DataBackend for dplyr.
Allows 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, ...
Feature filters and feature selection algorithms.
Extensions for survival analysis.
Extensions for ordinal regression.
Open an issue in the respective project if you are interested in starting or supporting the development.
Extensions for vizualizaton of mlr3 objects.
Extensions for spatiotemporal statistics.
Extensions for cluster analysis.
Extensions for functional data analysis.
Extensions for forecasting.