SAS^® Visual Data Mining and Machine Learning

Solve complex analytical problems with a comprehensive visual interface that handles all tasks in the analytics life cycle. SAS Visual Data Mining and Machine Learning, which runs in SAS^® Viya^®, combines data wrangling, exploration, feature engineering, and modern statistical, data mining, and machine learning techniques in a single, scalable in-memory processing environment. The software also includes SAS^® Visual Statistics and SAS^® Visual Analytics.

SAS Visual Data Mining and Machine Learning 8.5.

What’s New

NEW! Three risk modeling nodes were added: Interactive Grouping, Reject Inference, and Scorecard. Risk Modeling Add-on for SAS Visual Data Mining and Machine Learning released an update in March 2020 that contains additional features for these nodes. Note: A Risk Modeling Add-on for SAS Visual Data Mining and Machine Learning license is required to use the risk modeling nodes.
A public API for automated modeling for end-to-end model development and deployment is available by simply choosing the automation option, or you can use this API to build and deploy your own custom predictive modeling applications. See examples at developer.sas.com.
Two new nodes, the Feature Machine node and the Model Composer node, were added. The Feature Machine node enables you to automatically cleanse, transform, and select features for models. The Model Composer node enables you to automatically select the best model across multiple techniques.
A new interpretability report, Kernel SHAP, is now available.
You can use machine learning to identify cases to label and develop a smart system or agent for process-based modeling by using Batch Reinforcement Learning.
The new SPARSEML procedure has been developed specifically for analyzing sparse data formats.

Get Started

Ready to create powerful data mining and machine learning models? These resources are a good place to start.

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Learn the basics

Learn how to get started with SAS Visual Data Mining and Machine Learning by accessing these tutorials:

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Stay connected

Be a part of the community for SAS Visual Data Mining and Machine Learning. We offer a variety of ways for you to interact with users and experts.

Tutorials

Browse our library of free SAS Visual Data Mining and Machine Learning tutorials to learn something new or sharpen your skills.

Managing Data & Variables

Working with Pipelines

Machine Learning Pipeline Automation (MLPA)

Automated Pipeline Creation in Model Studio

Building Ensemble Models

Using Templates

Using Node Templates

Inserting Custom Code

Executing SAS Code in Model Studio (video)

Integrating with Other SAS Products

Integrating with Python or R

Autotuning

Model Interpretability

Deep Learning

Training Courses

Learn SAS technology quickly and efficiently by taking a course from the analytics experts.

SAS Visual Data Mining and Machine Learning in SAS Viya: Interactive Machine Learning

Get a theoretical foundation for SAS Visual Data Mining and Machine Learning, as well as hands-on experience using the tool through the SAS Visual Analytics interface. The course uses an interactive approach to teach you visualization, model assessment and model deployment while introducing you to a variety of machine learning techniques.

Supervised Machine Learning Pipelines Using SAS Viya   

Learn the different techniques associated with supervised machine learning models. A series of demonstrations and exercises is used to reinforce all the concepts and the analytical approach to solving business problems.

Visit the learning path for SAS Viya