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Train the model

Source: R/wrappers_catboost.R
catboost_train.Rd

Train the model

Usage

catboost_train(learn_pool, test_pool = NULL, params = list())

Arguments

learn_pool

Training dataset.

test_pool

Testing dataset.

params

A list of training parameters.

Value

A model object.

Examples

sim_data <- msaenet::msaenet.sim.binomial(
  n = 100,
  p = 10,
  rho = 0.6,
  coef = rnorm(5, mean = 0, sd = 10),
  snr = 1,
  p.train = 0.8,
  seed = 42
)

x_train <- catboost_load_pool(data = sim_data$x.tr, label = sim_data$y.tr)

fit <- catboost_train(
  x_train,
  NULL,
  params = list(
    loss_function = "Logloss",
    iterations = 100,
    depth = 3,
    logging_level = "Silent"
  )
)

fit
#> CatBoost model (100 trees)
#> Loss function: Logloss
#> Fit to 10 feature(s)