Is ML.NET supported on ARM64? - ml.net

Is ML.NET support on ARM64 yet?
If so, can someone provide a link or perhaps some steps to test this on ARM64, please?
thank you!

Yes, but I need to install .NET Core 2.1 or later.
While ML.NET packages work with both .NET Core 2.1 or later and .NET Framework 4.6.1, only .NET Core 2.1 (starting from the release 2.1.609) supports ARMx64 binaries.
References
https://github.com/dotnet/machinelearning
https://dotnet.microsoft.com/download/dotnet-core/2.1

Related

Using HtmlAgilityPack NuGet package in dotnet core v1.0

I am trying to use HtmlAgilityPack nuget package in netcoreapp1.0 (I am restricted to this version since AWS Lambda supports only it). Which version of the HtmlAgilityPack package should I use? The point is .NETStandardLibrary 1.6.0 is only compatible with netcoreapp1.0 but I don't see any version of HtmlAgilityPack which would be compatible with .NETStandardLibrary 1.6.0. The minimum version I can see is .NETStandardLibrary 1.6.1 but this is for netcoreapp1.1.
From a .NET Standard API prospective nothing changed between NETStandard.Library 1.6.1 and 1.6.0. We only bumped the version of the meta-package so that we could pull in newer versions of the dependent packages which contain implementation fixes but no real new API surface for NS1.6.
See the issue #171 in DotNet standard repo What's the change in NetStandard.Library 1.6.1 vs 1.6.0?
Even if there will be no HtmlAgilityPack compatible (or build against) netstandard1.6, but there is a netstandard1.6.1 I would just build it for myself by replacing netstandard v1.6.1 nuget package with netstandard v1.6 package ( HtmlAgilityPack is open source - right :) ).
Most importantly there is no netstandard1.6.1, it was never released or even worked on, v1.6.1 stands only for the version of NETStandard.Library NuGet package.

Jython 3 stable version

What is the latest stable version of Jython? I prefer a new version hopefully v3.x
Is it still recommended to use Jython 2.7.0 Final Released (May 2015)
What is Jython 3 sandbox? Is this a official/recommended one?
In Wikipedia it says about v.2.7.1 released in July 2017. Where can I download this version? (if this is the recommended latest one)
Use this link to download the 2.7.1 version:
You should definitely NOT use the newcomers which aren't stable for production purposes. You can follow guys from their dev team for all info regarding releases.

Phonegap, Cordova, xCode 4.4 and Mountain Lion

Yesterday I cleaned my hard drive and I updated my OSX to Mountain Lion. I installed xCode 4.4, and after, I downloaded and installed the PhoneGap 2.0.
The problem is that I can't create projects using the template of Cordova Project... like I usually do before...
Does anybody know where is the problem?
Thanks!!!
Read this guide
http://docs.phonegap.com/en/2.0.0/guide_getting-started_ios_index.md.html#Getting%20Started%20with%20iOS
The template method for creating projects has changed in PhoneGap 2.0 I believe.
Check this tutorial as the official one is outdated
http://iphonedevlog.wordpress.com/2012/09/24/phonegap-2-1-0-in-mac-os-x-mountain-lion-10-8-from-download-to-ios-app-store/

Does the cppunit test frame have different version? if yes, then what is the latest version of it?

Does the cppunit test frame have different version? if yes, then what is the latest version of it?
Yes. The most recent version is 1.12.1.
The project page is at http://sourceforge.net/projects/cppunit/
The latest tagged version is 1.13.2 according to the project's wikipedia entry.
The most recent version is available at https://freedesktop.org/wiki/Software/cppunit/. The development branch is actively updated. Version 1.13.2 was finalized on 2013-11-11.

upgrading boost version

I'm using RHEL 5.3, shipped with gcc 4.1.2 and boost 1.33.
So, there's no boost::unorded_map, no make_shared() factory function to create boost::shared_ptr and other features available in newer releases of boost.
Is there're a newer version of boost compatible with the version of gcc?
If yes, how the upgrade is performed?
Download the latest version (1.43.0) of the Boost libraries from the Boost website and follow the steps in the getting started guide, which explains how to build Boost on a number of platforms, including Linux.
Simply download and install the newest version; it will adapt itself automatically to your compiler.
Sure, just download the latest source from link text. If you are only using header only libraries, it just needs to be unpacked. If you are using one of a handful that require a library, you will need to build those.