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PMML (Predictive Modelling Markup Language)
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Execute PMML models.
Background Information
PMML (Predictive Modelling Markup Language) is an XML-based standard that expresses analytics models. It provides a way for applications to define statistical and data mining models so that they can be easily reused and shared.
In a typical scenario, data scientists use an analytical tool to produce a data mining model based on large amounts of historical data, which is then exported to PMML. The model can then be deployed in a runtime environment and executed on incoming observations, predicting values for the model’s target metrics.
Available Tools
%DeepSee.PMML classes
Enable you to execute existing PMML models. You can place an existing PMML definition into a subclass of %DeepSee.PMML.Definition. InterSystems IRIS generates code to support the models contained in the definition and provides an API to execute the models.
See Using PMML Models in InterSystems IRIS.
Availability: All Analytics-enabled namespaces.

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Content Date/Time: 2019-02-21 01:13:32