Zementis ADAPA is a standards-based predictive analytics scoring engine. It is predominantly used as an analytics platform for rapid operational deployment and execution of predictive models. In addition, the Zementis ADAPA scoring platform can add significant value as a general purpose analytics server for development and testing of machine learning models.
In the context of the R data mining tool, this white paper will discuss how to leverage ADAPA as a development and testing framework in the data science team. ADAPA as an “R Server” is not limited by the size of the data and will take full advantage of available compute resources to provide high-performance analytics. It supports high-throughput scoring for model verification and model validation, especially when comparing complex model types or large collections of models.