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. Also, the name of the community for the practitioners of this approach based on InterSystems technology.
InterSystems IRIS ML Toolkit adds the power of InterSystems 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.
ML Toolkit for InterSystems IRIS, besides Python/R/Julia, allows orchestrating cloud-based advanced analytics services, such as Microsoft Azure Data Factory and Machine Learning:
This repository is a go-public that builds on the already existing InterSystems-internal Convergent Analytics community and InterSystems-private MLToolkit repo (remains active and contains the most recent information for external ML Toolkit users - request memebership by writing us at MLToolkit@intersystems.com). This repo embraces more than ML Toolkit, we would like to host any discussions, publications, projects that add up in what we call convergent analytics approach. Welcome!
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