Deployment
As discussed earlier, MLlib supports model export to Predictive Model Markup Language (PMML). Therefore, we do export some developed models to PMML for this project. However, in practice, the users for this project are more interested in rule-based decision making to use some of our insights besides score-based decision making to prevent frauds.
As for this project, the client is interested in applying our results for the following:
- Deciding what interventions to use for a combination of car products or services with a special customer segment
- When the company needs to start some interventions depending on the customer churn score
Therefore, we need to produce a customer churn risk score for the client with which the client will start ...
Get Apache Spark Machine Learning Blueprints now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
