Dependencies

mlr3 tries to be light on dependencies. The following packages are at runtime:

• parallelly: Helper functions for parallelization. No extra recursive dependencies.
• future.apply: Resampling and benchmarking is parallelized with the future abstraction interfacing many parallel backends.
• backports: Ensures backward compatibility with older R releases. Developed by members of the mlr team. No recursive dependencies.
• checkmate: Fast argument checks. Developed by members of the mlr team. No extra recursive dependencies.
• mlr3misc: Miscellaneous functions used in multiple mlr3 extension packages. Developed by the mlr team.
• paradox: Descriptions for parameters and parameter sets. Developed by the mlr team. No extra recursive dependencies.
• R6: Reference class objects. No recursive dependencies.
• data.table: Extension of R’s data.frame. No recursive dependencies.
• digest (via mlr3misc): Hash digests. No recursive dependencies.
• uuid: Create unique string identifiers. No recursive dependencies.
• lgr: Logging facility. No extra recursive dependencies.
• mlr3measures: Performance measures. No extra recursive dependencies.
• mlbench: A collection of machine learning data sets. No dependencies.
• palmerpenguins: A classification data set about penguins, used on examples and provided as a toy task. No dependencies.