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Support deploying R moders as a web service

Big companies that started earlier with ML, started with R, as it was not until 2017 that python surpassed R as the preferred language for ML. Still many companies have models running in batch on Spark clusters and those models are implemented in R.

In CP4D we have a partial support for R, loosing the opportunity to provide support to the full life cycle of models.

  • Guest
  • Jun 9 2020
  • Planned for future release
Who would benefit from this IDEA? R practitioners, which use to be the senior datascientists in many large companies, target of IBM
How should it work?

In Watson Studio we support R (RStudio) and in CP4D 3.0 we are supporting R Shiny applications, which can be deployed in WML deployment spaces. But those are kind of web based applications, with presentation layer. Some customers are deploying R models as web services using Plumber (, which allows to "apify" the R model and deploy it as a docker container.

Once the R model is "apified" then it is feasible to monitor it with Openscale, by leveraging the "custom model" pattern.

If WML supported the R model "apification" and hosting of the api, it would also provide a better support opportunity for Openscale to support R models monitoring. And most important, we would provide an end to end dupport to R model life cyle.

Idea Priority Urgent
Priority Justification Customers with installed base of R models are now taking decisions related to their data platform modernization.
Client Name Ask me.
  • Admin
    Sumit Goyal commented
    28 Sep, 2020 02:40pm

    @Jaume Thanks for creating the idea. Which R frameworks are most widely used for deployment in your opinion.

  • Admin
    Sumit Goyal commented
    6 Jul, 2020 09:07am

    The capability is expected to be delivered in Q1 2021.

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