True or False: PMML is exclusively for predictive modeling and does not include other functionalities.

PMML, or Predictive Model Markup Language, is a standard that not only facilitates predictive modeling but also encompasses a variety of functionalities beyond that. It is designed to provide a way to represent various aspects of a model, including data transformations, scoring, and even the entire workflow involved in deploying a model. This includes capabilities for describing input data requirements, output formats, and even pre-processing or post-processing steps that might be necessary for effective model deployment.

Thus, stating that PMML is exclusively for predictive modeling underrepresents its full capabilities. It serves as a comprehensive language that allows for the integration and interchange of both predictive models and the complete analytic processes, accommodating various stages of model lifecycle management. This broader range of functionality supports the use of PMML not just for predictive analytics but also for various types of analytics tasks, making the assertion false.