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

<p align="center"> <strong>k-Nearest Neighbors</strong> </p> <p align="center"> <strong>Nadaraya-Watson Kernel Regression</strong> </p> <p align="center"> <strong>Gaussian Process Regression</strong> </p>