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RMLops: A simple R example for Azure Pipelines

This is the Github repository associated with this Azure Pipelines project: https://dev.azure.com/davidsmi0786/davidsmiRtest. It is intended as a simple example of using R with Azure Pipelines to use a CI/CD process to trigger training of a predictive model.

You will need an Azure Subscription to replicate these examples. For new subscribers, use this link for an Azure Account that includes $200 of Azure services.

Presentations

Slides from the presentation A DevOps process for deploying R to production are available. Presented at the EARL 2019 conference in London, September 11 2019.

Slides from the presentation A DevOps process for deploying R to production are available. Presented at the useR!2019 conference in Toulouse, July 12 2019. A video recording of this presentation is available.

Resources

Integrating the Data Science and App Development Cycles (Medium), Francesca Lazzeri, Microsoft.

MLOps: Manage, deploy, and monitor models with Azure Machine Learning Service (Microsoft Docs).

Train and deploy machine learning models with Azure Pipelines (Microsoft Docs).

Azure Machine Learning Service (Microsoft Docs).

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