lazy.control | R Documentation |
Set control parameters for a lazy learning object.
lazy.control(conIdPar=NULL, linIdPar=1, quaIdPar=NULL, distance=c("manhattan","euclidean"), metric=NULL, cmbPar=1, lambda=1e+06)
conIdPar |
Parameter controlling the number of neighbors to be used
for identifying and validating constant models.
|
linIdPar |
Parameter controlling the number of neighbors to be used
for identifying and validating linear models.
|
quaIdPar |
Parameter controlling the number of neighbors to be
used for identifying and validating quadratic
models.
|
distance |
The distance metric: can be |
metric |
Vector of |
cmbPar |
Parameter controlling the local combination of
models.
|
lambda |
Initialization of the diagonal elements of the local variance/covariance matrix for Ridge Regression. |
The output of lazy.control
is a list containing the
following components: conIdPar
, linIdPar
, quaIdPar
,
distance
, metric
, cmbPar
, lambda
.
Mauro Birattari and Gianluca Bontempi
lazy
, predict.lazy
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.