# Class "Regression.Sweep.PenReg.Config"

### Description

Configuration class for PenReg sweep operation

### Objects from the Class

Objects can be created by calls of the form `new("Regression.Sweep.PenReg.Config", ...)`

.

### Slots

`n`

:Object of class

`"OptionalNumeric"`

, indicating, in this derived class, the maximum number of values of`lambda`

's to produce predictions for.`alpha`

:Object of class

`"numeric"`

, indicating the relative strength of L1 (`alpha=1.0`

) vs. L2 (`alpha=0.0`

) penalty in penalized regression.`lambda`

:Object of class

`"numeric"`

, containing the values of shrinkage parameter to generate predictions for. During CV sweep, this parameter is determined in the first fold and passed on to the remaining folds.

### Extends

Class `"Regression.Sweep.Config"`

, directly.

### Methods

- Regression.Sweep.Fit
`signature(object = "Regression.Sweep.PenReg.Config")`

: ...

### Author(s)

Mansour T.A. Sharabiani, Alireza S. Mahani