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Add note for Ubuntu LTS installation instructions (#3670)

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2024-04-02 05:18:24 +00:00
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@@ -12,9 +12,10 @@ looking for, see the quickstarts for [Python](python.md),
To use mlpack in C++, you only need the header files associated with the
libraries, and the dependencies Armadillo and ensmallen (detailed in the
[main README](../../README.md)). The headers may already be pre-packaged for
your distribution; for instance, for Ubuntu and Debian you can simply run the
command
[main README](../../README.md)).
The headers may already be pre-packaged for your distribution;
for instance, for Ubuntu and Debian you can simply run the command
```sh
sudo apt-get install libmlpack-dev
@@ -26,18 +27,23 @@ and on Fedora or Red Hat:
sudo dnf install mlpack
```
If you run a different distribution, mlpack may be packaged under a different
name. And if it is not packaged, you can use a Docker image from Dockerhub:
You can also use a Docker image from Dockerhub,
which has mlpack headers already installed:
```sh
docker run -it mlpack/mlpack /bin/bash
```
This Docker image has mlpack headers already installed.
If you prefer to build mlpack from scratch, see the
[main README](../../README.md).
**Note for Ubuntu LTS Users**: The libmlpack-dev version in the Ubuntu LTS
repositories may not always be the latest. This can lead to issues, such as
missing header files (e.g., `mlpack.hpp` missing in versions prior to 4.0).
To ensure compatibility with the latest mlpack features and examples,
we recommend building mlpack from source, as explained in the
[main README](../../README.md).
## Installing mlpack from vcpkg
The mlpack port in vcpkg is kept up to date by Microsoft team members and community contributors. The url of vcpkg is: https://github.com/Microsoft/vcpkg . You can download and install mlpack using the vcpkg dependency manager: