Documentation for H2OAutoML does not specify what nfolds==-1 means

[exalate-issue-sync]

At [https://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/modeling.html#h2oautoml|https://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/modeling.html#h2oautoml|smart-link] , the documentation says the following about the {{nfolds}} parameter.

Number of folds for k-fold cross-validation. Use {{0}} to disable cross-validation; this will also disable Stacked Ensemble (thus decreasing the overall model performance). Defaults to {{-1}}.

It is unclear what the default value of {{-1}} means and its effects on cross-validation. This should be clarified in the documentation.

[h2o-ops]

JIRA Issue Details

Jira Issue: PUBDEV-8707
Assignee: New H2O Bugs
Reporter: Aohan Dang
State: Open
Fix Version: N/A
Attachments: N/A
Development PRs: N/A

[hannah-tillman]

Python docs out of date: https://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/modeling.html#h2oautoml

-1 tells AutoML to decide what it will do. If the data is big enough (depending on the cluster resources) it will create a blending frame and will not do cross-validation. Otherwise, it will use 5 fold CV. Can also be found here