K-Nearest Neighbors Regressor component

K-Nearest Neighbors Regressor finds the K training examples closest to the input and returns their average target value.

Configuration

Parameter	Description	Default
N Neighbors	Number of neighbors to consider.	`5`
Weights	`uniform` — simple average. `distance` — weighted by inverse distance.	`uniform`
Metric	Distance metric: `minkowski`, `euclidean`, `manhattan`, `chebyshev`	`minkowski`
P	Power for `minkowski`. `p=1` = Manhattan, `p=2` = Euclidean.	`2`

	Type
Input	`X Train` + `Y Train`
Output	Trained Model

Simple baseline that works well on small datasets. Always scale features before KNN.