tl_fit_deep: Fit a deep learning model

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

Fit a deep learning model

Description

Fit a deep learning model

Usage

tl_fit_deep(
  data,
  formula,
  is_classification = FALSE,
  hidden_layers = c(32, 16),
  activation = "relu",
  dropout = 0.2,
  epochs = 30,
  batch_size = 32,
  validation_split = 0.2,
  verbose = 0,
  ...
)

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	Vector of units in each hidden layer (default: c(32, 16))
activation	Activation function for hidden layers (default: "relu")
dropout	Dropout rate for regularization (default: 0.2)
epochs	Number of training epochs (default: 30)
batch_size	Batch size for training (default: 32)
validation_split	Proportion of data for validation (default: 0.2)
verbose	Verbosity mode (0 = silent, 1 = progress bar, 2 = one line per epoch) (default: 0)
...	Additional arguments

Value

A fitted deep learning model

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