Though the live version of SAS Global Forum 2020 couldn't take place, I want to virtually share with you the paper and recording of the presentation that I was planning on giving on Automation in SAS® Visual Data Mining and Machine Learning. You can view the paper that has details on the various automation that is available through the Model Studio interface for machine learning pipelines, including automated data preprocessing, feature engineering, and hyperparameter tuning in supervised learning algorithms. There's also full pipeline automation available in SAS Model Studio to dynamically and automatically create a machine learning pipeline for you that is optimal for your data. It can also be invoked via a REST API that you can embed into your own applications.
In addition, watch this 15-minute video that gives highlights from the paper on the very latest automation features in the 8.5 release of SAS Visual Data Mining and Machine Learning:
And finally, if you want to see some example code for using the Machine Learning Pipeline Automation REST API, refer to our GitHub example.
