Fit a boosting model with neural network feature transformation

Fit a boosting model with neural network feature transformation

boosterCpp(
  x,
  y,
  model_name,
  n_estimators = 100L,
  learning_rate = 0.1,
  tolerance = 1e-04,
  calibration = FALSE,
  seed = 123L,
  show_progress = TRUE,
  verbose = FALSE
)

Arguments

x

Input matrix

y

Target vector

model_name

Name of the base model

n_estimators

Number of boosting iterations

learning_rate

Learning rate for boosting

tolerance

Convergence tolerance

calibration

Whether to calibrate the model

seed

Random seed

show_progress

Whether to show progress bar

verbose

Whether to print detailed output