Nonparametric Models

The nonparametric module implements several popular nonparameteric regression and classification models.

• kernel_regression.py implements Nadaraya-Watson kernel regression (Nadaraya, 1964; Watson, 1964)
• knn.py implements k-nearest neighbors regression and classification models using a ball-tree
• gp.py implements Gaussian process regression / simple kriging (Krige, 1951; Matheron, 1963; Williams & Rasmussen, 1996)

Plots

k-Nearest Neighbors

Nadaraya-Watson Kernel Regression

Gaussian Process Regression