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.
|Author||Mauro Birattari <[email protected]> and Gianluca Bontempi <[email protected]>|
|Date of publication||2013-09-22 17:33:04|
|Maintainer||Liran Lerman <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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