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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.
Package details |
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Author | Mauro Birattari <mauro.birattari@ulb.be> and Gianluca Bontempi <gianluca.bontempi@ulb.be> |
Maintainer | Theo Verhelst <theo.verhelst@ulb.be> |
License | GPL (>= 2) |
Version | 1.2-18 |
Package repository | View on CRAN |
Installation |
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