tof_create_grid: Create an elastic net hyperparameter search grid of a...

In keyes-timothy/tidytof: Analyze High-dimensional Cytometry Data Using Tidy Data Principles

Create an elastic net hyperparameter search grid of a specified size

Description

This function creates a regular hyperparameter search grid (in the form of a tibble) specifying the search space for the two hyperparameters of a generalized linear model using the glmnet package: the regularization penalty term and the lasso/ridge regression mixture term.

Usage

tof_create_grid(
  penalty_values,
  mixture_values,
  num_penalty_values = 5,
  num_mixture_values = 5
)

Arguments

penalty_values	A numeric vector of the unique elastic net penalty values ("lambda") to include in the hyperparameter grid. If unspecified, a regular grid with 'num_penalty_values' between 10^(-10) and 10^(0) will be used.
mixture_values	A numeric vector of all elastic net mixture values ("alpha") to include in the hyperparameter grid. If unspecified, a regular grid with 'num_mixture_values' between 0 and 1 will be used.
num_penalty_values	Optional. If 'penalty_values' is not supplied, 'num_penalty_values' (an integer) can be given to specify how many equally-spaced penalty values between 10^(-10) and 1 should be included in the hyperparameter grid. If this method is used, the regular grid will always be returned. Defaults to 5.
num_mixture_values	Optional. If 'mixture_values' is not supplied, 'num_mixture_values' (an integer) can be given to specify how many equally-spaced penalty values between 0 (ridge regression) and 1 (lasso) should be included in the hyperparameter grid. If this method is used, the regular grid will always be returned. Defaults to 5.

Value

A tibble with two numeric columns: 'penalty' and 'mixture'.

See Also

Other modeling functions: tof_assess_model(), tof_predict(), tof_split_data(), tof_train_model()

Examples

tof_create_grid()

tof_create_grid(num_penalty_values = 10, num_mixture_values = 5)

tof_create_grid(penalty_values = c(0.01, 0.1, 0.5))

keyes-timothy/tidytof documentation built on May 7, 2024, 12:33 p.m.