[R-package] lgb.cv ignores verbose argument

[david-cortes]

In the R version, function lgb.cv has a parameter verbose with this description:

verbosity for output, if <= 0, also will disable the print of evaluation during training

However, regardless of what I pass for verbose, it will still print [Info] and higher-up messages:

library(lightgbm)
data("agaricus.train")
pool = lgb.Dataset(agaricus.train$data, label=agaricus.train$label)
params = list(
    objective_type="binary",
    force_row_wise=TRUE,
    seed=123
)
lgb.cv(params, pool, verbose=0)

[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.486412 -> initscore=-0.054366
[LightGBM] [Info] Start training from score -0.054366
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.476969 -> initscore=-0.092189
[LightGBM] [Info] Start training from score -0.092189
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.482957 -> initscore=-0.068198
[LightGBM] [Info] Start training from score -0.068198
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
...

[jameslamb]

Thanks for opening this! Definitely looks like a bug.

Are you interested in submitting a pull request? If not, I'll probably pick this up this weekend.

[david-cortes]

I'll better leave it to you.

[jameslamb]

Assigning this to myself to signal that I'm working on it right now.

[github-actions]

This issue has been automatically locked since there has not been any recent activity since it was closed.
To start a new related discussion, open a new issue at https://github.com/microsoft/LightGBM/issues
including a reference to this.