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

If you are a customer of the new InterSystems IRIS® Cloud SQL and InterSystems IRIS® Cloud IntegratedML® cloud offerings and want access to the metrics of your deployments and send them to your own Observability platform, here is a quick and dirty way to get it done by sending the metrics to Google Cloud Platform Monitoring (formerly StackDriver).

Summary of Alerts

Detail of Alerts

DP-439207 - AIX JSON Unicode Parsing Issue

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

Dear community, we are building up a digital backbone for our 17 hospitals and looking for reinforcement within the team. Maybe this is something for you or someone you know?

Hi all,

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

Introduction

Hi Community,

Play the new video on InterSystems Developers YouTube:

⏯ FHIR to IntegratedML - Can You Get There From Here @ Global Summit 2023

Hi Developers!

Here're the technology bonuses for the InterSystems Vector Search, GenAI, and ML contest 2024 that will give you extra points in the voting:

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.

Hi Community

This document mainly enriches the content of the previous article and introduces the use of the application.

Perhaps you have already read the previous article, but I still want to say,
After completing the initialization operation (including model creation and training), the Fhir HepatitisC Predict application then predicts HepatitisC

First

You need to input some information on the application, of course, only the results of some checks, not including privacy data.

SHOW

Processing FHIR resources with FHIR SQL BUILDER to predict the probability of developing hepatitis C disease

With the development of technology, the medical industry is also constantly advancing, and humans often pay more attention to their own health,
By learning and processing datasets through computers, diseases can be predicted.

Pre condition: Ability to use FHIR and ML
Firstly, our dataset is obtained from kaggle and transformed into FHIR resources based on patient gender, age, ALP or ALT, and imported into the FHIR resource repository

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. 

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.

It's true! QuinielaML has incorporated the most important leagues in Europe (and Brazil) into its prediction service, so, dear members of the Developer Community, wherever you are from, you will be able to have the predictions of your favorite leagues at your disposal.

From the predictions screen you will have access to each of the new leagues included, being able to record the matches for each journey:

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.

JSON Web Token Authentication

Interested in predictive modeling? This exercise shows how IntegratedML® works, and you can get practice creating a model with sample patient data. Try it out and share what you think!

Recently @Anastasia Dyubaylo published a post (this one) showing a new IntegratedML functionality for time series predictions that @Thomas Dyar already presented to us at the Global Summit 2023 so, let's go to set up a small workshop to test it!

Introduction

For this workshop we have chosen as the topic the prediction of monthly users of the Valencia Metro line by line. To do this, we have monthly data broken down by lines since 2022 as well as annual data by lines since 2017 that we will extrapolate monthly.

Hey Developers,

Enjoy watching the new video on InterSystems Developers YouTube:

⏯ InterSystems Cloud Services - InterSystems IRIS SQL & IntegratedML @ Global Summit 2023

We continue with the series of articles related to the QuinielaML application. In this article we are going to cover how to prepare the raw data that we have captured using the Embedded Python functionality.

Welcome everybody!

Hi Developers,

Watch this video to see how you can use IntegratedML time-aware modeling in InterSystems IRIS to make predictions for data values based on historical trends, and how this differs from traditional IntegratedML modeling:

⏯ How to Predict Time Series Data with IntegratedML

Welcome dear members of the Community to the presentation and first article of a small project that will demonstrate the capabilities of InterSystems IRIS to provide full backup functionality for a web application developed in Angular. This article will be limited to presenting the concept as well as the InterSystems IRIS functionalities used in a general way, going into more detail in subsequent articles.

Welcome to QuinielaML!

Introduction

Hi Developers,

Watch this video to learn about new features of IntegratedML, such as support for larger datasets and new syntax for time series forecasting:

⏯ IntegratedML: New & Next @ Global Summit 2023

Hey Community,

Watch this video to learn how to build and run machine-learning models using InterSystems IRIS Cloud IntegratedML using the example of 15,000 rows of data from New York City taxi rides to predict the tip for a given ride:

⏯ Building Models with IntegratedML in the Cloud

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.

# ZPM installation

zpm:USER>install IntegratedMLandDashboardSample

# Process Deployment 

Use or create a new namespace

Import code into the corresponding namespace

Execute in Terminal:

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!

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 @Thomas Dyar and @Dmitry Maslennikov for all the work and effort they put into making it a resounding success.

Let's briefly introduce IntegratedML

IntegratedML

Prediction of server configuration for entry

The platform server entry configuration prediction application connects to Iris in Java and uses its Integrated ML technology to analyze data such as hospital outpatient volume, number of services, number of messages, and message save time. It can predict the server configuration required for the hospital entry platform before the hospital integration platform enters, providing convenience for customers.

Analog data

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. InterSystems IRIS Cloud IntegratedML is an option to this database-as-a-service that offers easy access to powerful Automated Machine Learning capabilities in a SQL-native form, through a set of simple SQL commands that can easily be embedded in application code to augment them with ML models that run close to the data.

In recent years, artificial intelligence technologies for text generation have developed significantly. For example, text generation models based on neural networks can produce texts that are almost indistinguishable from texts written by humans.
ChatGPT is one such service. It is a huge neural network trained on a large number of texts, which can generate texts on various topics and be matched to a given context.