t's also an example for a customized command extension (ZZJSN) in Caché & IRIS
This is the Caché version for fast JSON formatting but it also works in IRIS. Requires package ZPretty To allow parallel existence in IRIS this is named ZZJSN
Henry Elliott is currently recruiting for Sr. Developers with InterSystems technology stack experience including Cache, IRIS for Health, HealthShare, Ensemble. Experience in any of the following preferred: FHIR, AWS, VA VistA, APIs, RPCs. These are remote opportunities. Please send resume to Mary Pion- mpion@henrye.com or call me at 781-416-9915 to discuss further.
It is a classic Global Mapping exercise presenting ^SPOOL as Class / Table
Background
Device #2 named SPOOL dates back to the predecessors of Caché and IRIS It was the first "%Stream" like option to buffer output before printing. It is also the first and till today the most simple way of output redirection.
Solution
This is also an example of a mapped Global. USE 2 redirects the output into the Global ^SPOOL
I am attempting to set up a security role for our support team so they can have read access to the production and messages.
I have given the role RW rights on the resource associated with the database. However, when I log into Management Portal and select "Ensemble", the "Available Ensemble namespaces" list is empty.
What permissions do i need to set to be able to navigate to the production?
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:
The guide “Extending Languages with %ZLANG Routines” Tells you all details you need to know to extend your programming language. EXCEPT: How to do it in a clean way.
This example of a %ZLANGC00.mac may show a possible approach to get an easy to overview and to manage setup. With less than 50 lines of code you might not be affected. But if your Studio shows close to 1000 rows or more you may get in troubles.
Packed Pretty.xml installs routine ZPretty in any namespace. calling $$Do^ZPretty(input,[filler],[newline])returns a wrapped JSON string. filler is the optional string for the indent, default = " " newline is optional, default = $C(13,10) input accepts: JSON_String, JSON_Stream, %DynamicAbstractObject
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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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.
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.
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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Following up the previous part, it's time to take advantages for IntegratedML VALIDATION MODEL statement, to provide information in order to monitor your ML models. You can watch it in action here
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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