lazy (1.2-16)

Lazy Learning for Local Regression.

By combining constant, linear, and quadratic local models, lazy estimates the value of an unknown multivariate function on the basis of a set of possibly noisy samples of the function itself. This implementation of lazy learning automatically adjusts the bandwidth on a query-by-query basis through a leave-one-out cross-validation.

Maintainer: Gianluca Bontempi
Author(s): Mauro Birattari <> and Gianluca Bontempi <>

License: GPL (>= 2)

Uses: Does not use any package

Released over 1 year ago.