ParameterGrid: Tuning Parameters Grid

In brian-j-smith/MachineShop: Machine Learning Models and Tools

Tuning Parameters Grid

Description

Defines a tuning grid from a set of parameters.

Usage

ParameterGrid(...)

## S3 method for class 'param'
ParameterGrid(..., size = 3, random = FALSE)

## S3 method for class 'list'
ParameterGrid(object, size = 3, random = FALSE, ...)

## S3 method for class 'parameters'
ParameterGrid(object, size = 3, random = FALSE, ...)

Arguments

...	named param objects as defined in the dials package.
size	single integer or vector of integers whose positions or names match the given parameters and which specify the number of values used to construct the grid.
random	number of unique points to sample at random from the grid defined by size, or FALSE for all points.
object	list of named param objects or a parameters object. This is a positional argument that must be given first in calls to its methods.

Value

ParameterGrid class object that inherits from parameters and TuningGrid.

See Also

TunedModel

Examples

## GBMModel tuning parameters
grid <- ParameterGrid(
  n.trees = dials::trees(),
  interaction.depth = dials::tree_depth(),
  random = 5
)
TunedModel(GBMModel, grid = grid)

brian-j-smith/MachineShop documentation built on Sept. 22, 2023, 10:01 p.m.