dotnet / dotnet/machinelearning-modelbuilder
Additional Installation Options
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- Dockerfile
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Description
### .NET Newbie
**Is your feature request related to a problem? Please describe.**
As someone getting acquainted with machine learning tooling, and dotnet, in some of the articles, tutorials, and other artifacts it would be ideal to have more simplified installation methods. I prefer to use the terminal first, to understand the underlying functionality, prior to using IDEs and other UI options.
**Describe the solution you'd like**
I am flowing through, and hoping to share and example of this tutorial [here](https://dotnet.microsoft.com/en-us/learn/ml-dotnet/get-started-tutorial/install). In these articles, the ideal outcome is the app and handling of the data in alignment with machine learning algorithms. Therefore it is not ideal to focus on and get sidetracked by installation steps. It may serve the authors best to:
- Add options for installation with package managers.
- Incorporate additional steps surrounding symlinks and where the tooling should be installed. For example, I had to create a symlink for dotnet to run commands and was looking for the tools folder for mlnet in that directory opposed to the folder in the home directory. It would be nice if this was notated for individuals who are not as familiar with dotnet, but are using it as a means to an end.
**Describe alternatives you've considered**
N/A
**Additional context**
I'm flowing through this and will leave a comment to the relevant updates as I work through it, if this hasn't been picked up.
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