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IRIS ML Toolkit can now use IntegratedML

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.

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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

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