#IntegratedML

Hey Developers! 

Join our next competition in creating open-source solutions using InterSystems IRIS Data Platform! Please welcome:

➡️ InterSystems IRIS AI Programming Contest ⬅️

Duration: June 29 – July 19, 2020. 

Taking advantage of the Quiniela ML application and as we indicated in the previous article, we are going to explain how we can perform a JWT authentication between our frontend developed in Angular and our backend developed in InterSystems IRIS.

I remind you of the architecture of our QuinielaML project:

Usually it is a cumbersome process in web applications to develop the administration and management of user access, but in our case InterSystems IRIS simplifies the process by providing us with all the infrastructure we need.

When trying to create a ML Model I ran into the problem, that AutoML apparantly isn't available on my IRIS instance.

I was able to use the following command successfully: CREATE MODEL ECLASSPREDICT PREDICTING (eClass) FROM SQLUSER.CRMSHOPARTIKEL

Then when trying to use TRAIN MODEL ECLASSPREDICT, I get the error from the image:

Roughly translates to : "-186: Modelprovider not available on this instance. #2822 %ML provider 'AutoML' is not available on this instance"

In my ML Configurations there are 3 standard configurations called %AutoML, %H20 and %PMML which I haven't changed.

Hi Developers!

The InterSystems IRIS AI Contest is over. Thank you all for participating in our IRIS AI Competition!

And now it's time to announce the winners! 

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

As you know, if you regularly read the articles that are published in the Community, last May InterSystems organized the JOnTheBeach2023 Hackathon held in Malaga (Spain). The topic that was proposed was the use of predictive analysis tools that InterSystems IRIS makes available to all developers with IntegratedML. We must thank both @tomdand @Dmitry.Maslennikovfor all the work and effort they put into making it a resounding success.

Hey Developers!

This week is a voting week for the InterSystems IRIS AI Programming Contest!

So, it's time to give your vote to the best AI- and ML-enabled solution on InterSystems IRIS!

🔥 You decide: VOTING IS HERE 🔥

How to vote? This is easy: you will have one vote, and your vote goes either in Experts Nomination or in Community Nomination.

Hi all,

Some days ago, I've seen a youtuber talking about how to create a neural network (sorry, is in spanish)

In short, it uses the neural network to learn how to convert degrees Celsius to degrees Fahrenheit.
Degrees Fahrenheit = (degrees Celsius × 9/5) +32
In this video, he uses Python to create the neural network, where he creates a table with the values ​​of degrees Celsius and degrees Fahrenheit.

Hi colleagues!

InterSystems Grand Prix 2023 unites all the key features of InterSystems IRIS Data Platform!

Thus we invite you to use the following features and collect additional technical bonuses that will help you to win the prize!

Here we go!

• LLM AI or LangChain usage: Chat GPT, Bard and others - 6
• InterSystems FHIR SQL Builder- 5
• InterSystems FHIR - 3
• IntegratedML - 4
• Native API - 3
• Embedded Python - 4
• Interoperability - 3
• Production EXtension(PEX) - 2
• Adaptive Analytics (AtScale) Cubes usage - 3
• Tableau, PowerBI, Logi usage - 3
• InterSystems IRIS BI - 3 
• Columnar Index Usage - 1
• Docker container usage - 2 
• ZPM Package deployment - 2
• Online Demo - 2
• Unit Testing - 2
• Implement InterSystems Community Idea - 4
• First Article on Developer Community - 2
• Second Article On DC - 1
• Code Quality pass - 1
• First Time Contribution - 3
• Video on YouTube - 3

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.

I've been playing with IntegratedML and have created a model and trained the model.  When I try to use PREDICT or PROBABILITY statements in an SQL query, I get the following error:

[SQLCODE: <-400>:<Fatal error occurred>]

  [%msg: <PREDICT execution error: ERROR #5002: ObjectScript error: <OBJECT DISPATCH>%LoadModel+31^%ML.AutoML.TrainedModel.1 *<class 'AttributeError'>: 'str' object has no attribute 'decode' - >]

Here's an example of the sequence of steps I've followed that lead to the error:

CREATE MODEL MyModel PREDICTING (IsError BOOLEAN) FROM Example3.

Currently, the process of using machine learning is difficult and requires excessive consumption of data scientist services. AutoML technology was created to assist organizations in reducing this complexity and the dependence on specialized ML personnel.

AutoML allows the user to point to a data set, select the subject of interest (feature) and set the variables that affect the subject (labels). From there, the user informs the model name and then creates his predictive or data classification model based on machine learning.

Hey Community, 

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

⏯ IntegratedML Update from the Field

InterSystems IRIS ML Toolkit adds the power of InterSystems IntegratedML to further extend convergent scenario coverage into the area of automated feature and model type/parameter selection. The previous "manual" pipelines now collaborate within the same analytic process with "auto" pipelines that are based on automation frameworks, such as H2O.

The InterSystems IRIS IntegratedML feature is used to get predictions and probabilities using the AutoML technique. The AutoML is a Machine Learning technology used to select the better Machine Learning algorithm/model to predict status, numbers and general results based in the past data (data used to train the AutoML model). You don't need a Data Scientist, because the AutoML it will test the most common Machine Learning algorithms and select the better algorithm to you, based in the data features analysed. See more here, in this article.

Picture a dark room. The only light comes from a wall of displays and a blinking prompt that politely informs you:

“LINK TO M-U5K-3T: HIGH LATENCY – DIRECT CONTROL DISABLED.”

Perfect.

You are supposed to be a Rover Commander in the Musketeer Corps. Somewhere absurdly far away, you have an autonomous unit parked on a hostile exoplanet. It wants you dead, but it’s also covered in minerals that could fund a small civilization.

The ore on M-U5K-3T is everywhere. Unfortunately, everything else on the surface is actively trying to kill you.

So, we don't pilot. We script.

Hey Developers,

We're pleased to invite you to the "Best practices of in-platform AI/ML" webinar by InterSystems on April 28th at 11:00 EST/17:00 CET.

A few months ago, I read this interesting article from MIT Technology Review, explaing how COVID-19 pandemic are issuing challenges to IT teams worldwide regarding their machine learning (ML) systems.

Such article inspire me to think about how to deal with performance issues after a ML model was deployed.

I simulated a simple performance issue scenario in an Open Exchange technology example application - iris-integratedml-monitor-example, which is competing in the InterSystems IRIS AI Contest. Please, after read this article, you can check it out and, if you like it, vote for me

Have you tried the InterSystems learning platform lab for IRIS IntegratedML? In that lab you can train and test a model on a readmission dataset and be able to predict when a patient will be readmitted or not, or calculate its probability of being readmitted.

You can try it without any installation on your system, all you have to do is start a virtual lab environment (Zeppelin) and play it around!

This may be a very specific problem but might help with some general information that I wasn't able to find anywhere.

I have started to train 2 IntegratedML models using AutoML one month ago.

My first attempt was very optimistic with a class that has  26 Properties and 100.000 datasets. I wasn't expecting good results, just wanted to test it. 
(CREATE MODEL ECLASSPREDICT3 PREDICTING (eClass) FROM CRMSHOPARTIKELML)
My second attempt was more specific using the same class structure but reducing the dataset to 10.000 entries and only using certain properties.

Hi Community!

We are pleased to invite all the developers to the upcoming  InterSystems AI Programming Contest Kick-Off Webinar! The topic of this webinar is dedicated to the InterSystems IRIS AI Programming Contest.

On this webinar, we will talk and demo how to use IntegratedML and PythonGateway to build AI solutions using InterSystems IRIS.

Date & Time: Monday, June 29 — 11:00 AM EDT

Speakers:  
🗣 @Thomas Dyar, Product Specialist - Machine Learning, InterSystems 
🗣 @Eduard Lebedyuk, Sales Engineer, InterSystems

Hi Community,

We're pleased to invite you to join the upcoming InterSystems IRIS 2020.1 Tech Talk: Data Science, ML & Analytics on April 21st at 10:00 AM EDT!

In this first installment of InterSystems IRIS 2020.1 Tech Talks, we put the spotlight on data science, machine learning (ML), and analytics. InterSystems IntegratedML^TM brings automated machine learning to SQL developers. We'll show you how this technology supports feature engineering and chooses the most appropriate ML model for your data, all from the comfort of a SQL interface. We'll also talk about what's new in our open analytics offerings. Finally, we'll share some big news about InterSystems Reports, our "pixel-perfect" reporting option. See how you can now generate beautiful reports and export to PDF, Excel, or HTML.

Hi!

I'd like to know if the VALIDATE MODEL statement in IntegratedML performs a cross validation (CV) procedure internally. If it doesn't, is there a ready to use method for CV?

Thanks!

Hi Community!

We're pleased to invite you to the Online Meetup with the Winners of the InterSystems IRIS AI Programming Contest!

Date & Time: Friday, July 24, 2020 – 11:00 EDT

What awaits you at this virtual Meetup? 

• Our winners' bios.
• Short demos on their applications.
• A short interview with all the winners about the past contest. Plans for the next contests.

Hi Developers,

IntegratedML is a feature helps us and our teams easily implement machine learning (ML) without dedicated ML experts and data scientists. If you do not need particularly complex ML function, integratedML is a good choice and convenient that only requires executing 3 SQL queries to build predictive models directly from InterSystems IRIS to ML engine.

I have recorded a video that walk through the basic of IntegratedML and implement an application from open exchange called diseases predictor by @Yuri.

InterSystems is pleased to announce the General Availability of InterSystems IRIS Cloud SQL and InterSystems IRIS Cloud IntegratedML, two foundational services for developing cloud-native solutions powered by the proven, enterprise-class performance and reliability of InterSystems IRIS technology. 

InterSystems IRIS Cloud SQL is a fully managed cloud service that brings the power of InterSystems IRIS relational database capabilities used by thousands of enterprise customers to a broad audience of application developers and data professionals.

We're excited to announce the Early Access Program for IntegratedML Custom Models, a powerful new capability coming in IRIS 2026.1!

What Is It?

IntegratedML Custom Models extends the existing IntegratedML/AutoML feature by letting you deploy your own custom Python ML models directly within SQL queries.

A simple data analysis example created in IntegratedML and Dashboard

Based on InterSystems' Integrated ML technology and Dashboard, automatically generate relevant predictions and BI pages based on uploaded CSV files. The front and back ends are completed in Vue and Iris, allowing users to generate their desired data prediction and analysis pages with simple operations and make decisions based on them.

Hi!

I'd like to know how to get feature importance after creating and training a model, using IntegratedML with AutoML provider?

Thanks!

GA releases are now published for the 2020.3 version of InterSystems IRIS, IRIS for Health, with IntegratedML!

This is the first InterSystems IRIS release that includes IntegratedML, a new feature that brings "best of breed" machine learning to analysts and developers via simple and intuitive SQL syntax. Developers can now easily train and deploy powerful predictive models from within IRIS, right where their data lives. Documentation for IntegratedML is available as a User Guide. Virtual Summit 2020 features a number of sessions and an Experience Lab featuring IntegratedML, see overview here

Hi Community!

Enjoy watching the new video on InterSystems Developers YouTube and learn about IntegratedML feature:

⏯ What is IntegratedML in InterSystems IRIS?