Deploying fraud detection

As discussed before, MLlib supports model exporting to Predictive Model Markup Language (PMML). For the R notebook, it could run on other environments as well as, and with the PMML R package, R models could be exported. Also, it is possible to deploy models for decision making directly on Apache Spark and make results easily available to users. Therefore, we do export some developed models to PMML for this project.

However, in practice, the users of this project will be more interested in rule-based decision making to use some of our insights and also in score-based decision making to prevent frauds.

Here, we will discuss each one of them only briefly as a full deployment for decision making will need an optimization that is not covered in this chapter.

Turning estimated models into rules and scores is not very challenging and could be done under nonSpark platforms. However, Apache Spark makes things easy and fast. The advantage of utilizing Apache Spark is to allow...