Deploy Machine Learning Models from R Research to Ruby / Go Production with PMML

Deploying models trained in your research environment is not always a simple task. Your research environment, your production programming language, and the interplay between them may affect the ease of introducing new statistical models in production. In this blog post, I'll demonstrate the complete flow from training a Random Forest model in R, exporting it to a PMML file and finally scoring by the model in production oriented languages using Scoruby and Goscore. PMML stands for Predictive Model Markup Language and can represent models from research environments as XML files which can be later loaded and run in production. Scoruby and Goscore are code packages written by myself, that consume PMML files of various models and execute them in Go and Ruby under production memory and speed constraints.