#IntegratedML

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InterSystems IntegratedML is an all-SQL machine learning (ML) module for InterSystems IRIS or IRIS for Health that:
- Gives users the ability to create, train and deploy powerful models from simple SQL syntax without requiring data scientists.
- Wraps "best of breed" open source and proprietary "AutoML" frameworks including DataRobot.
- Focuses on easy deployment to IRIS, so you can easily add machine learning to your applications.

Please find more information including videos and infographics at the IntegratedML Resource Guide.

Article Thomas Dyar · Mar 25 2m read

Introduction

In InterSystems IRIS 2024.3 and subsequent IRIS versions, the AutoML component is now delivered as a separate Python package that is installed after installation. Unfortunately, some recent versions of Python packages that AutoML relies on have introduced incompatibilities, and can cause failures when training models (TRAIN MODEL statement). If you see an error mentioning "TypeError" and the keyword argument "fit_params" or "sklearn_tags", read on for a quick fix.

Root Cause

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InterSystems Official Daniel Palevski · Apr 2

Summary of Alerts

Alert ID Product & Versions Affected Explicit Requirements
DP-439207 InterSystems IRIS® data platform 2024.3 (AIX) AIX installations Using JSON processing and Unicode non-Latin-1 character sets
DP-439280 InterSystems IRIS 2024.3 (containers with IntegratedML) IntegratedML Containers using TensorFlow

Detail of Alerts

DP-439207 - AIX JSON Unicode Parsing Issue

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Article Daniel Cole · Feb 14 5m read

InterSystems has been at the forefront of database technology since its inception, pioneering innovations that consistently outperform competitors like Oracle, IBM, and Microsoft. By focusing on an efficient kernel design and embracing a no-compromise approach to data performance, InterSystems has carved out a niche in mission-critical applications, ensuring reliability, speed, and scalability.

A History of Technical Excellence

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