#InterSystems IRIS

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InterSystems IRIS is a Complete Data Platform
InterSystems IRIS gives you everything you need to capture, share, understand, and act upon your organization’s most valuable asset – your data.
As a complete platform, InterSystems IRIS eliminates the need to integrate multiple development technologies. Applications require less code, fewer system resources, and less maintenance.

This is the third post of a series explaining how to create an end-to-end Machine Learning system.

Training a Machine Learning Model

When you work with machine learning is common to hear this work: training. Do you what training mean in a ML Pipeline?
Training could mean all the development process of a machine learning model OR the specific point in all development process
that uses training data and results in a machine learning model.

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Article
· Aug 2, 2020 1m read
Application Errors Analytics

Hi Developers!

As you know the application errors live in ^ERRORS global. They appear there if you call:

d e.Log()

in a Catch section of Try-Catch.

With @Robert.Cemper1003's approach, you can now use SQL to examine it.

Inspired by Robert's module I introduced a simple IRIS Analytics module which shows these errors in a dashboard:

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Hi Devs!

A few months ago I raised a discussion on the naming convention for ZPM modules.

And you free to put your name or your organization name for the packages you want to have your personal or company's brand.

But if you contribute to community, we suggested to have "community." package for all such libraries.

But the name is too long.

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Setting up Management Portal Help Pages for Full WebServers

On each page of the System Management Portal, there is a “Help” button. This takes users to an article in documentation that describes the page functionality and use.

Caché provides local documentation for all of these articles.

InterSystems IRIS does not provide local documentation. Instead, the Help button will redirect users to the articles in the online documentation at docs.intersystems.com.

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My VS Code plugin "InterSystems Objectscript" upgraded to version 0.8.7 but the server settings no longer visible in extension settings and can no longer connect to our InterSystems server.

What has chnaged and how do we set the server connectio up? I checked the JSON file and it still has the settings as it was before but it is not connecting.

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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.

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Article
· Jul 27, 2020 2m read
ZPMshow, a helper for tired fingers

The offer of ZPM is growing daily and the short names and
acronyms of the offer are sometimes hard to understand and
also hard to type with my lazy fingers.

So I decided to have

  • a listing with the descriptions from the repository,
  • split in short junks to avoid backscroll,
  • controlled forward / backward scrolling,
  • the option to select my packages by number,
  • to install or uninstall with limited typing.

It runs with do ^zpmshow

A snapshot from the screen:

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This article is a continuation of Deploying InterSystems IRIS solution on GKE Using GitHub Actions, in which, with the help of GitHub Actions pipeline, our zpm-registry was deployed in a Google Kubernetes cluster created by Terraform. In order not to repeat, we’ll take as a starting point that:

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GA releases are now available for the first version (v1.0) of InterSystems System Alerting and Monitoring (InterSystems SAM for short)

InterSystems SAM v1.0 provides a modern monitoring solution for InterSystems IRIS based products. It allows high-level views of clusters and single-node drilled down metrics-visualization together with alerts notifications. This first version provides visualization for more than one hundred InterSystems IRIS kernel metrics, and users can extend the default-supplied Grafana template to their liking.

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Article
· Jul 20, 2020 1m read
Fast JSON formatting (IRIS)

t's also an example for a customized command extension (ZZJSON) in IRIS

IRIS has a nice %JSON.Formatter class.
But for debugging it is not really handy.
see:

ZWRITE js1  
js1="{""Name"":""Cunningham,John C."",""SSN"":""294-11-9150"",""DOB"":""1933-01-08"",""Home"":{""Street"":""4249 Ash Street"",""City"":""Tampa"",""State"":""MD"",""Zip"":""30176""},""FavoriteColors"":\[""White"",""Red"",""Green""]}"

so you proceed for the most simple case

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Article
· Jul 20, 2020 1m read
IRIS NativeAPI for Node.js compact

An all-in-1 package of the WebSocket MicroService Demo

To simplify the demo of the WebSocket-Micro-Server (WSockClientMicroSV)
the whole package is now bundled into a single Docker Image

How to use it

From the same terminal start the IRIS based client and prepare your orders

  docker-compose exec iris iris session iris %ZSocket

on WebTerminal it is simply

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This is my introduction to a series of posts explaining how to create an end-to-end Machine Learning system.

Starting with one problem

Our IRIS Development Community has several posts without tags or wrong tagged. As the posts keep growing the organization
of each tag and the experience of any community member browsing the subjects tends to decrease.

First solutions in mind

We can think some usual solutions for this scenario, like:

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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.

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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.

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Hi Developers,

Please welcome the new video, specially recorded by @José Pereira for the InterSystems IRIS AI Programming Contest:

⏯ Monitoring your ML model with IntegratedML

https://www.youtube.com/embed/KUjcpp5_a0w
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GA releases are now published for the 2020.2 version of InterSystems IRIS, IRIS for Health, and IRIS Studio!

A full set of containers for these products are available from the WRC Software Distribution site, including community editions of InterSystems IRIS and IRIS for Health.

The build number for these releases is 2020.2.0.211.0.

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This is the second post of a series explaining how to create an end-to-end Machine Learning system.

Exploring Data

The InterSystems IRIS already has what we need to explore the data: an SQL Engine! For people who used to explore data in
csv or text files this could help to accelerate this step. Basically we explore all the data to understand the intersection
(joins) which should help to create a dataset prepared to be used by a machine learning algorithm.

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I send ORUs to a process where a transform is applied before sending the message to a process where the routing is handled. A recent request was made that when OBR:25="D" the message is also be faxed with transforms that have some similarities to the original, but not exactly the same. I copied the DTC, made the alterations, and created a separate rule to handle it. However, when I run a message through with a "D" in OBR:25, it is only sent to the routing process once.

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Hi Community,

Please welcome the new video, specially recorded by @Renato Banzai for the InterSystems IRIS AI Programming Contest:

⏯ IRIS ML Suite Demo

https://www.youtube.com/embed/3-YSnFQnMLU
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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.

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