Today we announce what everyone was asking for: integration of IBM SPSS Modeler in the Data Science Experience.
Classification and regression based on a forest of trees using random inputs, utilizing conditional inference trees as base learners.
Accepts airport/weather station IDs and returns various weather data points for each location.
Estimating the relative importance of individuals within a social network using Spark MLlib.
This procedure calculates Bayes factors for sets of regression models and the posterior distribution. Only continuous (scale level) variables can be used.