Presentation from a workshop delivered by company's CEO Wit Jakuczun during ML@Enterprise conference that took place on 14th of December 2017 in Warsaw. Check https://github.com/WLOGSolutions/MLForum2017) for R code generated during this workshop.
Machine Learning is not only about algorithms. Machine learning is about value and this can be achieved only after proper deployment of Machine Learning solutions. I will present best practices regarding managing R based ML projects. I will use our open-source tool R Suite (http://rsuite.io/). During the workshop I will talk about:
– project structure
– development cycle
– deployment
– test
34. Commands:
update
Checks if newest version of RSuite CLI is installed. If not
installer for newest version is downloaded and installation
is initiated.
install
Install RSuite with all the dependencies.
proj
Use it to manage project, its dependencies, and build
project packages.
repo
Use to manage repositories. e.g. upload packages.
pkgzip
Use to create PKGZIP packages to fillup remove repository.
version
Show RSuite CLI version.
help
Show this message and exit.
Call 'rsuite [command] help' to get information on acceptable [args].