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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The most recent release is SAS Visual Data Mining and Machine Learning 8.4.

What’s New

  • Models imported from SAS Visual Analytics can now be edited.
  • A new Insights tab contains summary reports about the project, champion models, and challenger models.
  • SAS Micro Analytic Service is now a supported publishing destination.
  • Several new transformations are available for class input variables.
  • There are two new nodes: the Score Data node and the Segment Profile node.
  • Several existing nodes were updated to support autotuning.
  • You can specify Python code in the Project or User settings window that is automatically prepended to every Open Source Code node that specifies Python.
  • The SAS Code node has separate editors for training and scoring code.
  • Kazakh is now supported in the Text Mining node.
     

Get Started

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

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Previous Versions

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