Predictive Model Markup Language (PMML) is an XML-based interchange format that allows machine- learning models to be easily shared between applications and systems. Supported models include logistic regression, neural networks, decision trees, naïve Bayes, regression models, and many others. A typical PMML file consists of the following sections:
- Header containing general information
- Data dictionary, describing data types
- Data transformations, specifying steps for normalization, discretization, aggregations, or custom functions
- Model definition, including parameters
- Mining schema listing attributes used by the model
- Targets allowing post-processing of the predicted results
- Output listing fields to be output ...
