I’m working on a 3 part post on how to build, score and perform optimization with predictive models in R. Having done this type of work in IBM SPSS for a number of years, I wanted to replicate it in R. It’s amazing how little is published on how to save/load models in R for scoring of future data sets. Here is an outline of the 3 posts to follow shortly.
- Training, evaluating, saving, loading and scoring predictive models in R
- Optimization with predictive models in R (using non-linear optimization)
- Building an interactive simulation/optimization interface in Java (using Rserve)