R: Cross-validate model.

catboost.cv {catboost} | R Documentation

## Cross-validate model.

### Description

Cross-validate model.

### 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.

[Package catboost version 0.19.1 Index]