On this GitHub you can find all the information on how to use a HuggingFace machine learning / AI model on the IRIS Framework using python.

1. iris-huggingface

Usage of Machine Learning models in IRIS using Python; For text-to-text, text-to-image or image-to-image models.

Here, models as example :

• https://huggingface.co/gpt2

• https://huggingface.co/Jean-Baptiste/camembert-ner

• https://huggingface.co/bert-base-uncased

• https://huggingface.co/facebook/detr-resnet-50

• https://huggingface.co/facebook/detr-resnet-50-panoptic

• 1. iris-huggingface

• 2. Installation

  • 2.1. Starting the Production
  • 2.2. Access the Production

Many factors affect a person's quality of life, and one of the most important is sleep. The quality of our sleep determines our ability to function during the day and affects our mental and physical health. Good quality sleep is critical to our overall health and well-being. Therefore, by analyzing indicators preceding sleep, we can determine the quality of our sleep. This is precisely the functionality of the Sheep's Galaxy application.

Here're the technology bonuses for the InterSystems IRIS Cloud SQL and IntegratedML Contest 2023 that will give you extra points in the voting:

• IntegratedML usage
• Online Demo
• Article on Developer Community
• The second article on Developer Community
• Video on YouTube
• First Time Contribution
• Community Idea Implementation
• IRIS Cloud SQL Survey

See the details below.

Hi Community,
In this article, I will introduce my application iris-mlm-explainer

This web application connects to InterSystems Cloud SQL to create, train, validate, and predict ML models, make Predictions and display a dashboard of all the trained models with an explanation of the workings of a fitted machine learning model. The dashboard provides interactive plots on model performance, feature importances, feature contributions to individual predictions, partial dependence plots, SHAP (interaction) values, visualization of individual decision trees, etc.

Does anyone have any idea why there is such an error during model training? How can I change providers if my application does not have a management portal?

[S1000][400] [SQLCODE: <-400>:<Fatal error occurred>] [Location: <ServerLoop>] [%msg: <ERROR #8104: Gateway Exception: <GATEWAY> java.lang.RuntimeException ai.h2o.automl.AutoML.inferDistribution(AutoML.java:572) Number of domains is equal to 1.>]

Hey Developers,

Enjoy watching the new video on InterSystems Developers YouTube:

⏯ Introduction to AutoML @ Global Summit 2022

Hey Developers,

Watch this video to learn how to use InterSystems IRIS Cloud IntegratedML:

⏯ InterSystems IRIS Cloud IntegratedML @ Global Summit 2022

In our latest episode of Data Points, I had a conversation with @Thomas Dyarabout AI Link, which helps bridge the gap between data scientists and business analysts. Our conversation talks about how AI Link fits with IntegratedML and Adaptive Analytics, as well, as what new features are on the horizon for IntegratedML. Take a listen!

Hi Community, 

Join us for an InterSystems Developer Meetup during TechCrunch Disrupt 2022!

We’ll be meeting on Wednesday, October 19th at Bartlett Hall, located at 242 O’Farrell St. (just a few short blocks from the Moscone Center) starting at 6 pm through 8:30 pm PT, where speakers will discuss how developers can bring the code to the data, not data to the code with Embedded Python and Integrated ML on InterSystems IRIS.

Food and drinks will be served accompanied by discussions. 

Agenda:

In this GitHub we fine tune a bert model from HuggingFace on review data like Yelp reviews.
The objective of this GitHub is to simulate a simple use case of Machine Learning in IRIS :
We have an IRIS Operation that, on command, can fetch data from the IRIS DataBase to train an existing model in local, then if the new model is better, the user can override the old one with the new one.
That way, every x days, if the DataBase has been extended by the users for example, you can train the model on the new data or on all the data and choose to keep or let go this new model.

In this article you will have access to the curated base of articles from the InterSystems Developer Community of the most relevant topics to learning InterSystems IRIS. Find top published articles ranked by Machine Learning, Embedded Python, JSON, API and REST Applications, Manage and Configure InterSystems Environments, Docker and Cloud, VSCode, SQL, Analytics/BI, Globals, Security, DevOps, Interoperability, Native API. Learn and Enjoy!

Machine Learning

Machine Learning is a mandatory technology to build advanced data analysis and automate manual activities with excellent efficiency.

Hey Developers,

Don't miss this hands-on session hosted by @Don Woodlock, Vice President of InterSystems Healthcare:

⏯ Machine Learning 201 - Neural Networks and Image Recognition

In this article, I am trying to identify the multiple areas to develop the features we can able to do using python and machine learning.

Each hospital is every moment trying to improve its quality of service and efficiency using technology and services. 

The healthcare sector is one of the very big and vast areas of service options available and python is one of the best technology for doing machine learning.

In every hospital, humans will come with some feelings, if this feeling will understand using technology is make a chance to provide better service.

What will the ideal learning path for a DataScience & AI aspirant ? 

Hey Community, 

Don't miss the latest videos on InterSystems Developers YouTube channel:

⏯ IntegratedML Update from the Field

Hi everyone, I'll be honest with you I don't have much idea how to do this, but I was asked to install IRIS for Health on an AWS ubuntu machine(ssh -i "teleker-net.pem" ubuntu@xx.xxx.xx.xxx(no I will put the real number)). My boss has sent me the .key and .pem files that I am supposed to need for the installation.

I am quite confused with the information that I have found to connect to AWS because it is not that I want to do it from any new, but that I need to connect to a machine that already exists, but I do not think so. I do not know if I explain myself very well.

Hey Developers,

Good news! One more upcoming in-person event is nearby.

We're pleased to invite you to join "J On The Beach", an international rendezvous for developers and DevOps around Big Data technologies.A fun conference to learn and share the latest experiences, tips & tricks related to Big Data technologies, and, the most important part, it’s On The Beach!

🗓 April 27-29, 2022

📍Málaga, Spain

This year, InterSystems is a Gold Sponsor of the JOTB.

We're more than happy to invite you and your colleagues to our InterSystems booth for a personal conversation. As always, there will be some surprises on it... 😁

Hi Community,

Don't miss the new video on InterSystems Developers YouTube:

⏯ Exploring Machine Learning with R Language Gateway

Hi Community,

In a hard work of data curation and data quality, the Health Dataset application deploy to you the above datasets.

These datasets can be used in your ML applications/models, AutoML and analytics projects. See more details here:

Installation

1. Clone/git pull the repo into any local directory

$ git clone https://github.com/yurimarx/automl-heart.git

Hi Community,

Please welcome the new video from #VSummit20:

⏯ Showcasing Health Insight & IntegratedML for Healthcare Applications

Hi Community,

We're pleased to invite you to the upcoming webinar in Spanish called "IntegratedML - Creating ML models in minutes"!

Date & Time: September 30, 4:00 PM (CEST)

Speaker: @Eduardo Anglada, Sales Engineer, InterSystems Iberia

Hi Community,

We're pleased to invite you to the online meetup with the winners of the InterSystems AI contest!

Date & Time: Friday, July 30, 2021 – 11:00 AM EDT

What awaits you at this Virtual Meetup? 

• Our winners' bios.
• Short demos on their applications.
• An open discussion about technologies being used. Q&A. Plans for the next contests.

Hey Developers,

The InterSystems AI programming contest is over. And now it's time to announce the winners! 

Are you excited?

A storm of applause goes to these developers and their applications:

Hey Developers,

This week is a voting week for the InterSystems AI programming contest! So, it's time to give your vote to the best solutions built with InterSystems IRIS.

🔥 You decide: VOTING IS HERE 🔥

How to vote? Details below.

Talking with a friend of mine, Machine Learning specialist @Renato Banzai, he brought one of the biggest challenges faced by companies nowadays: deploying ML/AI in live environments.

Challenges of real-time AI/ML computations

We will start from the examples that we faced as Data Science practice at InterSystems:

• A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen to data feeds and updates into the recommender mechanisms (the volume of input data having increased 25000 times)? What will happen to recommendation rule generation setup (the need to reduce 1000 times the recommendation rule filtering threshold due to a thousandfold increase of the volume and “assortment” of the rules generated)?
• An equipment health monitoring system uses “manual” data sample feeds. Now it is connected to a SCADA system that transmits thousands of process parameter readings each second. What will happen to the monitoring system (will it be able to handle equipment health monitoring on a second-by-second basis)? What will happen once the input data receives a new bloc of several hundreds of columns with data sensor readings recently implemented in the SCADA system (will it be necessary, and for how long, to shut down the monitoring system to integrate the new sensor data in the analysis)?
• A complex of AI/ML mechanisms (recommendation, monitoring, forecasting) depend on each other’s results. How many man-hours will it take every month to adapt those AI/ML mechanisms’ functioning to changes in the input data? What is the overall “delay” in supporting business decision making by the AI/ML mechanisms (the refresh frequency of supporting information against the feed frequency of new input data)?

Fixing the terminology

A robot is not expected to be either huge or humanoid, or even material (in disagreement with Wikipedia, although the latter softens the initial definition in one paragraph and admits virtual form of a robot). A robot is an automate, from an algorithmic viewpoint, an automate for autonomous (algorithmic) execution of concrete tasks. A light detector that triggers street lights at night is a robot. An email software separating e-mails into “external” and “internal” is also a robot. Artificial intelligence (in an applied and narrow sense, Wikipedia interpreting it differently again) is algorithms for extracting dependencies from data. It will not execute any tasks on its own, for that one would need to implement it as concrete analytic processes (input data, plus models, plus output data, plus process control). The analytic process acting as an “artificial intelligence carrier” can be launched by a human or by a robot. It can be stopped by either of the two as well. And managed by any of them too.

Hey Developers,

We're pleased to announce the next InterSystems online programming competition: 

🏆 InterSystems AI Programming Contest 🏆

Duration: June 28 - July 25, 2021

Total prize: $8,750 

Landing page: https://contest.intersystems.com