fslaborg / FSharp.Stats

statistical testing, linear algebra, machine learning, fitting and signal processing in F#
https://fslab.org/FSharp.Stats/
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Minkowski distance #296

Closed bvenn closed 8 months ago

bvenn commented 9 months ago

Description

The Minkowski distance or Minkowski metric is a metric in a normed vector space which can be considered as a generalization of both the Euclidean distance and the Manhattan distance. [1]

References

Pointers

Hints (click to expand if you need additional pointers) - To be able to contribute to this library you'll need - an GitHub account - an IDE like Visual Studio Community or Visual Studio Code - [dotnet 6 sdk](https://dotnet.microsoft.com/en-us/download) - to build the binaries yourself follow the [instructions](https://fslab.org/FSharp.Stats/#Installation) - while working on the [FSharp.Stats documentation](https://fslab.org/FSharp.Stats/) (any file within https://github.com/fslaborg/FSharp.Stats/tree/developer/docs) you can navigate to the project folder with a prompt of your choice and use the command `./build watchdocs` - unit tests can be executed via `./build runtests`
s-weil commented 9 months ago

I will work on this issue

s-weil commented 9 months ago

Hi @bvenn

I would like to open my PR on this issue, but haven't been able to publish my branch yet. Are there any write restrictions in place? Thanks a lot for the help

bvenn commented 9 months ago

Hi @s-weil

first of all: Thank you for your contribution 👍

You have to fork the repo and open a PR from the feature-branch of your fork to the developer branch of fslaborg. I hope that helps. If not, dont hesitate in contacting again.

s-weil commented 9 months ago

Thanks, that helped. the PR is here: https://github.com/fslaborg/FSharp.Stats/pull/308