azuremlsdk: grid_parameter_sampling – R documentation

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grid_parameter_sampling

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.

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)

azuremlsdk

Interface to the 'Azure Machine Learning' 'SDK'

v1.10.0

MIT + file LICENSE

Authors

Diondra Peck [cre, aut], Minna Xiao [aut], AzureML R SDK Team [ctb], Microsoft [cph, fnd], Google Inc. [cph] (Examples and Tutorials), The TensorFlow Authors [cph] (Examples and Tutorials), RStudio Inc. [cph] (Examples and Tutorials)

Initial release