R: Cross-validate model.

catboost.cv {catboost}

R Documentation

Cross-validate model.

Description

Estimate model performance using cross-validation.

Usage

catboost.cv(
  pool,
  params = list(),
  fold_count = 3,
  type = "Classical",
  partition_random_seed = 0,
  shuffle = TRUE,
  stratified = FALSE,
  early_stopping_rounds = NULL
)

Arguments

`pool`	Data to cross-validate on
`params`	Parameters for catboost.train
`fold_count`	Folds count.
`type`	is type of cross-validation.
`partition_random_seed`	The random seed used for splitting pool into folds.
`shuffle`	Shuffle the dataset objects before splitting into folds.
`stratified`	Perform stratified sampling.
`early_stopping_rounds`	Activates Iter overfitting detector with od_wait set to early_stopping_rounds.

Value

A data.frame of evaluation results from cross-validation.

[Package catboost version 0.25 Index]