lazy: 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.

AuthorMauro Birattari <mbiro@ulb.ac.be> and Gianluca Bontempi <gbonte@ulb.ac.be>
Date of publication2013-09-22 17:33:04
MaintainerLiran Lerman <llerman@ulb.ac.be>
LicenseGPL (>= 2)
Version1.2-15
http://iridia.ulb.ac.be/~lazy

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Files

lazy
lazy/inst
lazy/inst/COPYING
lazy/inst/COPYRIGHTS
lazy/inst/ACKNOWLEDGMENTS
lazy/src
lazy/src/lazy.c
lazy/NAMESPACE
lazy/R
lazy/R/lazy.R
lazy/MD5
lazy/DESCRIPTION
lazy/man
lazy/man/lazy.control.Rd lazy/man/predict.lazy.Rd lazy/man/lazy.Rd
lazy/INDEX

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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