DeployR is a server-based framework that provides simple, secure R integration for application developers. It's available in two editions: DeployR Open, which is free and open-source; and Revolution R Enterprise DeployR, which adds a scalable grid framework and enterprise authentication features for production applications integrated with R.
If you're looking for an overview of what DeployR is and how you can use it to access R from other applications, we've just released a new white paper, Using DeployR to Solve the R Integration Problem. This 14-page document steps you through the basic DeployR workflow: the R user creates an script and publishes it to the server; an application developer links to the R script via the DeployR API; and an application user sees some results of an R calculation in a desktop, mobile or web-based application (most likely without being aware that R was involved at all).
You can download the whitepaper (free registration required) from the Whitepapers section of the Revolution Analytics website. For the technically-minded, you may also want to explore the DeployR Application Developer Documentation. You can also check out the list of our other most popular white papers and webinars on R, data science and big data analytics.
Revolution Analytics White Papers: Using DeployR to Solve the R Integration Problem
Thank you for this whitepaper, it explains in details how DeployR works and how to install it. What it fails to do though is to provide simple examples of how to deploy R models in production.
For example, Yhat has many easy to use examples of how to deploy R models and get results through API (like this one - http://help.yhathq.com/v1.0/docs/linear-regression ) . I understand that DeployR is a much more complex and versatile tool, but maybe there are some simple examples you can point to me?
Thanks!
Posted by: Rinat Menyashev | March 16, 2015 at 10:26
Rinat, we have some examples on using the DeployR Java Client Library including a Fraud Scoring example.
Posted by: David Smith | March 16, 2015 at 13:35
Hi Dave,
FYI, the link on "Fraud Scoring example" in your previous comment links back to this webpage and not the intended destination.
Posted by: Daniel Emaasit | March 19, 2015 at 10:12
Thanks Daniel -- I fixed the link in my comment above.
Posted by: David Smith | March 19, 2015 at 11:47
Thanks
Posted by: Jerifortune | March 27, 2015 at 22:37