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.
| Version: | 1.2-14 |
| Published: | 2003-12-10 |
| Author: | Mauro Birattari and Gianluca Bontempi |
| Maintainer: | Mauro Birattari <mbiro at ulb.ac.be> |
| License: | GPL (≥ 2) |
| URL: | http://iridia.ulb.ac.be/~lazy |
| CRAN checks: | lazy results |
| Package source: | lazy_1.2-14.tar.gz |
| MacOS X binary: | lazy_1.2-14.tgz |
| Windows binary: | lazy_1.2-14.zip |
| Reference manual: | lazy.pdf |
| Old sources: | lazy archive |