PMML (Predictive Model Markup Language) is an XML-based predictive model interchange format. It provides a way to define statistical and machine learning models so that they can be shared between different applications and systems. It's commonly used for deploying models developed in one environment (e.g., R, Python) to another (e.g., a production scoring engine) without requiring recoding or retraining.
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