Change to test travis.
This package provides a set of non-parametric methods for regression. The implementation of the methods are in C++ npr and Python interface is available pynpr. This library is built on FLANN which is a fast approximate nearest neighbour algorithm.
sudo apt-get install libboost-python-dev libflann-dev libarmadillo-dev python-numpy
- Checkout the repository
- Run the install.py script (from within the folder non-parametric-regression)
A set of python interface examples for 1D, 2D and 3D regressions.
A set of examples on how to use the C++ interface.
- Locally weighted regression (LWR)
Library of locally weighted (LWR) regression. LWR is a memory based regression which is non-parameteric. It stores a set of input, X, and target values, y which form the desired training data for the regressor function y = f(X).