Theory

Kernel Regression is similar to ๐Ÿ  K-Nearest Neighbors. However, instead of a hard cutoff, we get the average across all data points weighted by their similarity as measured by ๐Ÿฟ Kernels.

Prediction

Given input and training data ,

  1. For regression, return
  1. For classification, return