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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InterSystems supports use of the InterSystems IRIS Docker images it provides on Linux only. Rather than executing containers as native processes, as on Linux platforms, Docker for Windows creates a Linux VM running under Hyper-V, the Windows virtualizer, to host containers. These additional layers add complexity that prevents InterSystems from supporting Docker for Windows at this time.

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Hey Developers,

New "Coding Talk" video was specially recorded by @Yuri Marx for the InterSystems IRIS AI Programming Contest:

SAPPHIRE - AutoML UI to InterSystems IntegratedML

https://www.youtube.com/embed/UowONCJzXVo
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As you probably know, InterSystems IRIS has a mechanism for auto-generating methods. So, when you create an index in a class, you create methods that make your work easier. There is also a good article on Community that describes such methods.

Take, for example, IndexNameOpen(val), where IndexName is the name of the corresponding index. This method returns an object in which the value of this index corresponds to the value of val.

But this method is available only for unique indexes.

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Hi,

Business Rules can define a context object, whose properties are exposed and used in the expressions of the rules. For example, my context object is an object with 3 properties. PropA, PropB and PropC.

When constructing my rules, I can call a custom function, and I have one I built myself called 'myFunction' which takes arguments and I pass in properties of my context object. (I can pass in the value of the context object's PropA, B or C).

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Hello,

I am using a class based on %UnitTest.TestProduction to test Health Connect production.

I read in Class Reference IRIS for UNIX 2020.1:

Note: This class is not intended to be used in InterSystems IRIS instances.

Why should this not be used in IRIS? I have not seen any difference using this with HealthConnect 2017 or IRIS 2020.1

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Pyodbc supports calling stored procedure , but if the IRIS Stored Procedure ROWSPEC has a column with datatype specified as %Date or %Time, Pyodbc fails to fetch it and throws this error.

"

pyodbc.Error: (' 2201', '[ 2201] [Cache ODBC][State : 22018 ][Native Code 22005]\r\nERROR #388: Unknown error, code 22005 (22005) (SQLGetData)')

"

on printing the cursor execute description, pyodbc reads the column as <int>.

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Hi All,

With this article, I would like to show you how easily and dynamically System Alerting and Monitoring (or SAM for short) can be configured. The use case could be that of a fast and agile CI/CD provisioning pipeline where you want to run your unit-tests but also stress-tests and you would want to quickly be able to see if those tests are successful or how they are stressing the systems and your application (the InterSystems IRIS backend SAM API is extendable for your APM implementation).

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Hey Community,

We're pleased to invite all the developers to the upcoming InterSystems IRIS 2020.1 Tech Talk: Speed Under Pressure on July 14 at 10:00 AM EDT!

In this InterSystems IRIS 2020.1 Tech Talk, we'll learn about the open source Ingestion Speed Test. We will explain:

  • the architecture of the ingestion speed test
  • how we are leveraging Docker containers to run it on our PCs
  • how we are leveraging InterSystems Cloud Manager to easily run it on AWS so we can compare InterSystems IRIS with other databases, such as AWS Aurora

After this Tech Talk, you'll be able to use the Ingestion Speed Test on InterSystems Open Exchange for your own testing and benchmarking.

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Imagine you want to see what InterSystems can give you in terms of data analytics. You studied the theory and now you want some practice. Fortunately, InterSystems provides a project that contains some good examples: Samples BI. Start with the README file, skipping anything associated with Docker, and go straight to the step-by-step installation. Launch a virtual instance, install IRIS there, follow the instructions for installing Samples BI, and then impress the boss with beautiful charts and tables. So far so good.

Inevitably, though, you’ll need to make changes.

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