grid_parameter_sampling: Define grid sampling over a hyperparameter search space

In Azure/azureml-sdk-for-r: Interface to the 'Azure Machine Learning' 'SDK'

Define grid sampling over a hyperparameter search space

Description

Grid sampling performs a simple grid search over all feasible values in the defined search space. It can only be used with hyperparameters specified using choice().

Usage

grid_parameter_sampling(parameter_space)

Arguments

parameter_space

A named list containing each parameter and its distribution, e.g. list("parameter" = distribution).

Value

The GridParameterSampling object.

See Also

choice()

Examples

## Not run: 
param_sampling <- grid_parameter_sampling(list("num_hidden_layers" = choice(c(1, 2, 3)),
                                               "batch_size" = choice(c(16, 32))))

## End(Not run)

Azure/azureml-sdk-for-r documentation built on Sept. 21, 2022, 5:45 a.m.