Spark MLlib is Big Data distributed processing framework. MLlib provides powerful training and execution pipelines allowing the transformation of one data frame into a resulting one.
The StreamBase operator for Spark MLlib Model Evaluator allows EventFlow modules to execute numerical models generated with the Spark MLlib Fast Scalable Machine Learning package. This operator is described on Using the Spark MLlib Model Evaluator Operator.
See the Spark MLlib Operator Sample to see how this operator can be used.