Advent of 2022, Day 23 – Working with R

In the series of Azure Machine Learning posts:

• Dec 01: What is Azure Machine Learning?
• Dec 02: Creating Azure Machine Learning Workspace
• Dec 03: Understanding Azure Machine Learning Studio
• Dec 04: Getting data to Azure Machine Learning workspace
• Dec 05: Creating compute and cluster instances in Azure Machine Learning
• Dec 06: Environments in Azure Machine Learning
• Dec 07: Introduction to Azure CLI and Python SDK
• Dec 08: Python SDK namespaces for workspace, experiments and models
• Dec 09: Python SDK namespaces for environment, and pipelines
• Dec 10: Connecting to client using Python SDK namespaces
• Dec 11: Creating Pipelines with Python SDK
• Dec 12: Creating jobs
• Dec 13: Automated ML
• Dec 14: Registering the models
• Dec 15: Getting to know MLflow
• Dec 16: MLflow in action with xgboost
• Dec 17: Building responsible AI dashboard with Python SDK
• Dec 18: Statistical analysis, plotting graphs and feature engineering
• Dec 19: Statistical analysis and ML comparison of prediction models
• Dec 20: Handling kernels, python packages, YAML files in notebooks and keeping structure and good practices
• Dec 21: Using Azure Machine Learning terminal
• Dec 22: Batch endpoints for batch scoring

This post is super short

R language and Azure Machine Learning SDK for R was deprecated a year ago (end of 2021). But R can be still used for training and deployment by using Azure Machine learning CLI 2.0!

Furthermore, R language can be used in Machine Learning Designer, for data preparation, data wrangling and statistical analysis.

AzureML SKD for R can be found on this page: https://azure.github.io/azureml-sdk-for-r/index.html.

Another way to user R is to use Posit (RStudio) on your compute instance. When you will be creating a new compute instance and you will get to the application usages

You can also install RStudio (Posit). But you will need a R Workbench license in order to install it.

On the Posit website, you can purchase the product

And from there on, you need to add an additional application when configuring a compute instance.

You enter the license key and the Posit (Rstudio) will be available as an application and development environment for your disposal.

So, there are ways to use R in Azure ML, and you can always choose your preferred tool.

Compete set of code, documents, notebooks, and all of the materials will be available at the Github repository: https://github.com/tomaztk/Azure-Machine-Learning

Happy Advent of 2022!