wjak

5 ms·

1.
by wjak 7y ago
Ability to run vscode in a browser
2.
by wjak 7y ago
R is good for machine learning and for production. We have helped big orgs to incorporate this technology in their it ecosystem. We used our open-source product called R Suite to manage deployment issues. https://github.com&#x2F
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Building a Malaria Classifier from Scratch Using R, R Suite and Keras(github.com)
1 points by wjak 7y ago|0 comments
4.
by wjak 7y ago
Check this example - https://github.com/WLOGSolutions/RSuite-examples/tree/master...
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by wjak 7y ago
No it is not example for rest API. Sorry I misunderstood you. I will add example for plumber with rsuite. Nevertheless the example presents workflow where only scoring should be changed to online from batch.
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by wjak 7y ago
R is single threaded. The same is with python. We use kubernetes for scaling. But it is not for all applications of course. R can be put into production. Rsuite is one of the solutions that helps with that.
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by wjak 7y ago
We use R for rest using plumber. It is very similar to flask. What you need is to add load balancer.
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by wjak 7y ago
Exactly, production and deployment process are very different. In enterprise it is very rigid with production that has no internet connection and the best if you do not install pkgs there (supported by rsuite). But I had a customer who trea
9.
by wjak 7y ago
Check this example. It is quite both complex and simplified. Real implementation is more automated. https://github.com/WLOGSolutions/RSuite-examples/tree/master...
10.
by wjak 7y ago
Rsuite has supported binary pkgs about a year before rstudio. You have not read docs to the end. Rsuite has been used for enterprise. It works great. And it is open-source. Moreover it brings proper definition of R project which rstudio s
11.
by wjak 7y ago
It's goal is different. We started with reproducible project definition. Then we implemented rsuite to help manage the project. It includes dependency management which is what renv solve. What is the biggest difference is that our proj
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by wjak 7y ago
Check for yourself if our solution works for you. We use it on a daily basis. But reproducibility is not the only thing. The most important was to have a project for R.
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by wjak 7y ago
To make this discussion better you should tell more about your development and deployment process. This includes definition of the project you use.
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by wjak 7y ago
Thanks for finding typo. It is mature. We have used it to deploy R to big players. And use it for our consulting services everyday. Check docs ( https://rsuite.io/RSuite_Tutorial.php ) and examples (e.g. https://git
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by wjak 7y ago
It goes deeper. We were lacking definition of R project. Pkgs management is part of project management.
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by wjak 7y ago
Hi, I one of the creators. From GitHub page: R Suite an R package which together with R Suite CLI tool enables you to design deployment workflow that fits you and makes R your primary data science platform. It has beed developed by WLOG Sol
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Rsuite – R development and data science platform(github.com)
97 points by wjak 7y ago|113 comments