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.

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SAS Visual Data Mining and Machine Learning 8.5.

What’s New

  • 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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SAS Visual Data Mining and Machine Learning 8.5 (SAS Viya 3.5)


Previous Versions

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