An utility app to validate PMML model
PMML is a standard for XML documents which express trained instances of analytic models.
PMML is a standard for XML documents which express trained instances of analytic models. The following classes of model are addressed:
At various places the mining models use simple functions in order to map user data to values that are easier to use in the specific model.
At various places the mining models use simple functions in order to map user data to values that are easier to use in the specific model. For example, neural networks internally work with numbers, usually in the range from 0 to 1. Numeric input data are mapped to the range [0..1], and categorical fields are mapped to series of 0/1 indicators.
PMML defines various kinds of simple data transformations:
Core PMML4S functionality. A PMML (Predictive Model Markup Language) scoring library in Scala. PMML is the leading standard for statistical and data mining models and supported by over 20 vendors and organizations. With PMML, it is easy to develop a model on one system using one application and deploy the model on another system using another application, simply by transmitting an XML configuration file.
http://dmg.org/ for details about PMML