• This GitHub repository is a component of the BOM4V project, aiming at demonstrating end-to-end Spark-based examples of Machine Learning (ML) pipelines, for instance churn detection in telecoms and transport industries.
• Central Maven repository with BOM4V Jar artefacts
• Docker cloud with ready-to-use images

See http://github.com/bom4v/metamodels for the way to build, package and deploy all the Telecoms Intelligence (TI) Models components, including that project.

Just add the dependency on ti-serializers-calls in the SBT project configuration (typically, build.sbt in the project root directory):

libraryDependencies += "org.bom4v.ti" %% "ti-serializers-calls" % "0.0.1-spark2.3"