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This R-package provides a functionally oriented interface between R and Julia. The goal is to call functions from Julia packages directly as R functions. Julia functions imported via the JuliaConnectoR can accept and return R variables. It is also possible to pass R functions as arguments in place of Julia functions, which allows callbacks from Julia to R. From a technical perspective, R data structures are serialized with an optimized custom streaming format, sent to a (local) Julia TCP server, and translated to Julia data structures by Julia. The results of function calls are likewise translated back to R. Complex Julia structures can either be used by reference via proxy objects in R or fully translated to R data structures.
Features
- Data preparation
- Examples available
- Documentation available
- Model training and evaluation
- Adapted R/JuliaConnectoR script: data preparation
- Adapter R/JuliaConnectoR script: model training and evaluation
- BoltzmannMachines in R
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow JuliaConnectoR
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