Objects of class `boost_family`

define negative gradients of
loss functions to be optimized.

Objects can be created by calls of the form `Family(...)`

`ngradient`

:a function with arguments

`y`

and`f`

implementing the*negative*gradient of the`loss`

function.`risk`

:a risk function with arguments

`y`

,`f`

and`w`

, the weighted mean of the loss function by default.`offset`

:a function with argument

`y`

and`w`

(weights) for computing a*scalar*offset.`weights`

:a logical indicating if weights are allowed.

`check_y`

:a function for checking the class / mode of a response variable.

`nuisance`

:a function for extracting nuisance parameters.

`response`

:inverse link function of a GLM or any other transformation on the scale of the response.

`rclass`

:function to derive class predictions from conditional class probabilities (for models with factor response variable).

`name`

:a character giving the name of the loss function for pretty printing.

`charloss`

:a character, the deparsed loss function.

`Family`