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TAP Analytics Toolkit
TAP ATK
March, 2017
TAP_ATK_v010_sidebar
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TAP ATK overview
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The TAP Analytics Toolkit (ATK) is an open-source SDK that makes Machine Learning and Deep Learning tools broadly available to data scientists working with big data.

TAP ATK includes the following:

  • Analytics capabilities that include spark-tk and daal-tk analytics libraries for working with Spark
  • Model scoring in Java, creation of model pipelines, and exchanging models in the new MAR format
  • Jupyter notebook with Spark-tk examples
  • Capabilities for working with TensorFlow

Explore these toolkit capabilities by using the navigation menu on the left or by walking through the project repos at: https://github.com/tapanalyticstoolkit