An IRIS Interoperability adapter to use ML models managed by IRIS IntegratedML
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Is it possible to integrate IRIS admin panel and OpenExchange, so people could see and install the apps just from there? Like you can install plugins in other products.
Example of IntegratedML predictions based on real data in CSV
Checking customer churn with IntegratedML
Example of using InterSystems IRIS Cloud SQL and IntegratedML
Predict Diseases using InterSystems IRIS IntegratedML
Predict Maternal Risk from Health Dataset application
Backend in Python or ObjectScript
An example on how to use InterSystems IRIS for Health FHIR database to perform ML models througth InterSystems IRIS IntegratedML
IntegratedML samples to be used as a template
"Covid-19 AI demo in Docker" deployment including dockerised Flask, FastAPI, Tensorflow Serving and HA Proxy etc etc.
SAPPHIRE is an web application to create and train your InterSystems IntegratedML models. You can load CSV data too. It is business user friendly.
A suite to use IRIS as Machine Learning Environment. Helping the development community to classify the posts with tags.
A guide through the IntegratedML used as a hands-on session on InterSystems DACH PartnerTag 2020. It is based on work of Derek Robinson and documentation of InterSystems.
Example on extending %Monitor.Adaptor to monitor IRIS IntegrateML models performance metrics.
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