The platform allows data scientists to pass Plumb5 Data through Model Libraries from WEKA or R or MATLAB, to be able to exercise adhoc custom analytics. The output generated is imported back to the Plumb5 Platform for visualization and insight synchronization. This feature will help analysts to apply prediction models or even train data for learning.
Plumb5 allows the data scientist to pass raw data sets or prepared data to the integrated platform and the output is collected back to render visualizations. This can be customized by the data scientist based on his needs. The synthesized data can be tagged back to the stack, which can be further used for personalization.
Click here to view integration documentation on how it works with WEKA.