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PMML (Predictive Modelling Markup Language)

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.DefinitionOpens in a new tab. Caché generates code to support the models contained in the definition and provides an API to execute the models.

See Using PMML Models in Caché.

Availability: All DeepSee-enabled namespaces.

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