IRIS ML Toolkit adds the power of IntegratedML to further extend convergent scenario coverage into the area of automated feature and model type/parameter selection. The previous “manual” pipelines now collaborate within the same analytic process with “auto” pipelines that are based on automation frameworks, such as H2O.
Details on the ML Toolkit available on GitHub, here. This is a platform-centric approach to developing analytical tools and solutions aiming to maximize the advantages of combining multiple analytic toolsets (AI/ML, BI, SQL, Quantum, IoT, MapReduce, NLP, DL/CV, etc.) in a single analytic process or a system of agent processes.
Details can be found here.