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.
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.
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 :
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:
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:
Hey Developers,
Watch this video to learn how to use InterSystems IRIS Cloud IntegratedML:
In our latest episode of Data Points, I had a conversation with @Thomas Dyar about 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.We are aware that training
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!
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:
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.
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:
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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:
$ git clone https://github.com/yurimarx/automl-heart.git
$ docker-compose build
$ docker-compose up -d
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?
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.
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
Hi Community,
Please welcome the new video on InterSystems Developers YouTube:
Hi Developers!
Here're the technology bonuses for the InterSystems IRIS AI contest that will give you extra points in the voting.
Use InterSystems IntegratedML in you AI/ML solution. Here is the template that uses it.
Be sure that the IRIS version is not less than 2021. The latest ML images with ZPM are:
intersystemsdc/iris-ml-community:2021.1.0.215.0-zpm
intersystemsdc/irishealth-ml-community:2021.1.0.215.0-zpm
R Gateway and Python gateway usage - 4 points
InterSystems IRIS 2021 release contains two new features - R gateway and Python gateway. Here is the template on how to use the R gateway. Here is a short demo of how to use it.
Embedded Python usage - 4 points
Embedded Python is a very new feature of InterSystems IRIS that gives you the option to use python as a "first-class citizen" in backend business logic development with InterSystems classes. Short demo of Embedded Python.
Embedded python could be used in "on-demand" images that could be delivered via InterSystems Early Access Program (EAP) if you refer to python-interest@intersystems.com.
Here is the template package on how to use Embedded Python deployable with ZPM. Don't forget to change the image to the one you get from the Early Access program.
PMML usage - 4 points
PMML - Predictive Modelling Markup Language - can be used to build AI/ML solutions with InterSystems IRIS. Check with documentation.
There is an example in Open Exchange on how to use PMML.