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TensorFlow Regression and Classification Python Data Function for Spotfire® 1.0.0

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Component is a Python data function which performs regression or classification using a neural network.


This data function performs supervised tasks, regression and classification, using a fully connected, deep neural network (DNN). It uses TensorFlow with the Keras API for implementation; both are popular deep learning libraries. The data function allows a user to configure different datasets, configure different model architectures, train and save the neural network model, and score new data using the trained models. The DXP highlights model results and evaluation measures.


Installing the data function

Follow the online guide available here to register a data function in Spotfire.


Configuring the data function

Each data function may require inputs from the Spotfire analysis and will return outputs to the Spotfire analysis. For each data function, these need to be configured once the data function is registered. To learn about how to configure data functions in Spotfire please view this video:

For more information on Spotfire visit the Spotfire training page.


Data function library

There exists a large number of data functions covering various features. Feel free to review what is available on the Data Function Library.

Initial Release (version 1.0.0)

Published: September 2021

Initial release includes:

  • Data function
  • Dxp with example usage
  • Documentation
  • License information

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