A computational graph approach
Modular, flexible, memory neutral; embarrassingly parallel
Embarrasingly parallel
Optimized for maximum concurrency at minimum memory consumption
Modular
Build deep, complex ensembles in just a few lines of code
Flexible
Leverage low-level API for full control and dynamic computations
Dedicated diagnostics
Purpose-built model-selection suite for efficient ensemble learning
