R: Class "boost\_family": Gradient Boosting Family

boost_family-class {mboost} | R Documentation

## Class "boost\_family": Gradient Boosting Family

### Description

Objects of class `boost_family` define negative gradients of loss functions to be optimized.

### Objects from the Class

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

### Slots

`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.

### See Also

`Family`

### Examples

        Laplace()

[Package mboost version 2.9-2 Index]