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Status Implemented
Product Spotfire Statistica
Created by Guest
Created on Nov 13, 2024

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Output models created by Multiple Regression and PLS nodes as PMML nodes

Machine learning nodes, such as Random Forest and Boosted Tree, automatically output models as PMML nodes. This allows models to be rerun automatically by simply updating the data, which is highly convenient for integration with Spotfire.

However, models created by the Multiple Regression and PLS nodes are only output to a reporting document and cannot be output as PMML nodes. This prevents automatic model updates, creating a usability issue.

Is the ability to output models as PMML nodes based on the PMML 4 compatibility table below?

https://docs.tibco.com/pub/stat/14.0.0/doc/html/UsersGuide/GUID-29086531-E2DE-4796-882A-E01FEF8224F5.html

If it can be modified quickly, I would greatly appreciate it.

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    Crystal Romero
    May 22, 2026

    We're happy to share that downstream PMML nodes are now available for the NIPALS Algorithm for PLS, Standard Multiple Regression, and Standard Multiple Regression with Deployment nodes. Please see the release notes for Spotfire Statistica 14.4: https://docs.tibco.com/pub/stat/14.4.0/SPOT_stat_14.4.0_relnotes.pdf?id=1

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