tl_tune_deep: Tune a deep learning model

In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem

Tune a deep learning model

Description

Tune a deep learning model

Usage

tl_tune_deep(
  data,
  formula,
  is_classification = FALSE,
  hidden_layers_options = list(c(32), c(64, 32), c(128, 64, 32)),
  learning_rates = c(0.01, 0.001, 1e-04),
  batch_sizes = c(16, 32, 64),
  epochs = 30,
  validation_split = 0.2,
  ...
)

Arguments

data	A data frame containing the training data
formula	A formula specifying the model
is_classification	Logical indicating if this is a classification problem
hidden_layers_options	List of vectors defining hidden layer configurations to try
learning_rates	Learning rates to try (default: c(0.01, 0.001, 0.0001))
batch_sizes	Batch sizes to try (default: c(16, 32, 64))
epochs	Number of training epochs (default: 30)
validation_split	Proportion of data for validation (default: 0.2)
...	Additional arguments

Value

A list with the best model and tuning results

tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.