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Random Forest Python Data Function for Spotfire® 1.3.0


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Summary

This component consisting of data function created in Python. Data function trains and executes a Random Forest machine learning model on a given input dataset.

Overview

This data function trains and executes a Random Forest machine learning model on a given input dataset. Random Forests are known to be powerful, cost-efficient models and are one of the most popular ensemble learning methods.

 

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.

Release 1.3.0

Published: November 2021

Changes to previous version:

  • Minor changes to parameter names and parameter types inside data function

Release includes:

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

 

Release 1.2.0

Published: September 2021

Changes to previous version:

  • New ability to set ID columns before modeling

Release includes:

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

 

Release 1.1.0

Published: May 2021

Enhancements to previous version:

  • Option inputs added
  • Variable importance added

 

Initial Release (version 1.0.0)

Published: March 2021

Initial release includes:

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

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