#Machine Learning (ML)

Machine learning (ML) is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" with data, without being explicitly programmed.

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Thomas Dyar · Mar 25 2m read

Workaround for scikit-learn 1.6.0 Incompatibility in IRIS 2024.3 AutoML

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.

#Compatibility #Containerization #IntegratedML #Machine Learning (ML) #Python #InterSystems IRIS #InterSystems IRIS for Health

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Article

Alex Woodhead · Mar 30 5m read

Vector Embeddings and Vocal Search. Analysis and innovation notes

This article shares analysis in solution cycle for the Open Exchange application TOOT ( Open Exchange application )

The hypothesis

A button on a web page can capture the users voice. IRIS integration could manipulate the recordings to extract semantic meaning that IRIS vector search can then offer for new types of AI solution opportunity.

#Large Language Model (LLM) #Machine Learning (ML) #Vector Search #Ensemble

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