I'm having trouble with a vb6 application attempting to connect to a Cache 2017 release. It uses the older Cacheobject.dll instead of ActiveX. The application currently works with a 2010 release of Cache. Is Cacheobject.dll supported in later releases?

I looked through documentation and posts and did not find an answer.

Thanks in advance for any response.

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InterSystems Official
· Dec 7, 2016
Platform Compatibility: HP Open VMS
Post has been edited for clarification: Both HP Open VMS versions (for Itanium and for Alpha) are discontinued for future InterSystems releases.
Future product releases, beginning with the next major release after 2017.1, will no longer be offered for the following platforms:
HP OpenVMS for Itanium
HP OpenVMS for Alpha
Products: Caché, Ensemble
Expected Availability: next major release after 2017.1
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The class %Compiler.UDL.TextServices arrived in 2015.1, bringing us methods for exporting a class in UDL format (i.e. looking just like we're used to seeing it in Studio), and importing a UDL format definition back into a namespace. Some source control tools including our Deltanji are now able to use UDL format, resulting in diffs that are easier to understand.

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InterSystems Official
· Apr 27, 2017
VSI OpenVMS

The last version of Caché, Ensemble released for VSI OpenVMS is 2017.1. Unlike HP OpenVMS (Alpha and Itanium), VSI OpenVMS on Itanium continues to be supported. This means that critical corrections or changes required to support customer’s hardware purchases will all be based on 2017.1 or earlier versions.

Related announcement: https://community.intersystems.com/post/platform-compatibility-hp-open-vms

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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.

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