Build PMML-based Applications and Generate Predictions in AWS Amazon Web Services

If you generate machine learning (ML) models, you know that the key challenge is exporting and importing them into other frameworks to separate model generation and prediction. Many applications use PMML (Predictive Model Markup Language) to move ML models from one framework to another. PMML is an XML representation of a data mining model. In this post, I show how to build a PMML application on AWS. First, you build a PMML model in Apache Spark using Amazon EMR.