random_search: Perform random search using a paramset.

In artichaud1/tidytune: A package for Tidy Hyperparameter Tuning

Description

Perform random search using a paramset.

Usage

random_search(resamples, recipe, param_set, n, scoring_func, ...,
  verbosity = TRUE)

Arguments

resamples	A data.frame with columns 'splits' and 'id', created using the 'rsample' package.
recipe	The recipe to use. See package 'recipes'.
param_set	Param set created by calling ParamHelpers::makeParamset.
n	Number of parameter combinations to generate.
scoring_func	Your custom train/predict/score function. Must take as parameters: a training dataframe the name of the target variable in the training dataframe a list of parameters (these are the hyperparameters we are tuning) an evaluation dataframe dots. These are additional non-tunable parameters that could be passed to the function.
...	Optional params passed to train_predict_func.

Details

'scoring_func' can return a single score as a numeric vector, or multiple scores in a data.frame.

Value

A tidy data.frame, with one column per parameter, columns to identify the paramset and the fold, a column giving the row indices of the evaluation dataset, and columns for the performance scores (these are taken from the scoring function if it returned a data.frame, otherwise it will just be a _score_ column).

artichaud1/tidytune documentation built on May 20, 2019, 9:13 p.m.