KNeighborsRegressor

[dcrescim]

Build a KNeighborsRegressor which matches the sklearn API.

https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html#sklearn.neighbors.KNeighborsRegressor

Technically there are 3 different strategies ‘ball_tree’, ‘kd_tree’, ‘brute’. This issue is only to support the "brute" method which checks the distance between the predicted point with every point in the input.

The other two are optimizations which try to use trees (kd_tree), and spheres(ball_tree) to speed up this algo, but to start let's just do brute.

[DirkToewe]

I've been working with KD-Trees in JS before. Once You have implemented the brute version, I'd be happy to add the kd_tree version.

[risenW]

I've been working with KD-Trees in JS before. Once You have implemented the brute version, I'd be happy to add the kd_tree version.

Hey @DirkToewe If you would love to work on this, I can pick something else. WDYT?

[DirkToewe]

Okay. It will be my first time with TypeScript and I don't yet know the best practices of scikit.js. But I will just try my best 😄

[risenW]

Okay. It will be my first time with TypeScript and I don't yet know the best practices of scikit.js. But I will just try my best 😄

No worries, You can read the documentation guide first: https://github.com/javascriptdata/scikit.js/blob/main/CONTRIBUTING_GUIDE.md, and also you may want to join the slack channel (@dcrescim can you share the link)- if you need any help.

[dcrescim]

Just shot over a Slack invite @DirkToewe, and invited ya to a Google Meet for Thursday. Lemme know if that time works for ya.