loss.type |
character, list or function .
- character
Name of the loss to be applied ('square', 'absolute', 'percentage', or 'pinball');
- list
When using pinball loss: list with field name equal to 'pinball' and field tau equal to the required quantile in [0,1];
- function
A custom loss as a function of two parameters.
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loss.gradient |
boolean, function .
- boolean
If TRUE, the aggregation rule will not be directly applied to the loss function at hand,
but to a gradient version of it. The aggregation rule is then similar to gradient descent aggregation rule.
- function
If loss.type is a function, the derivative should be provided to be used (it is not automatically
computed).
|
Y |
numeric (NULL). (Optional) Target values (to perform some checks).
|
model |
character (NULL). (Optional) Model used (to perform some checks).
|
use_cpp |
boolean . Whether or not to use cpp function to increase perf.
|