Skip to content
MLOps with R and Azure Pipelines
R Dockerfile
Branch: master
Clone or download
Latest commit c44dea7 Sep 12, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.gitignore Initial commit Jun 27, 2019
Dockerfile First attempt at adding container build step Jun 27, 2019
LICENSE Initial commit Jun 27, 2019
README.md Add video link Sep 12, 2019
azure-pipelines.yml Add install packages step Jul 9, 2019
earl2019slides.pdf Updates for EARL talk Sep 11, 2019
install-packages.R create library in wd Jul 11, 2019
train-model.R save correct model Jul 11, 2019
user2019slides.pdf README and slides Jul 12, 2019

README.md

Build Status

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).

You can’t perform that action at this time.