Categorical_encoding default/auto one_hot_internal to be explicit in the documentation

[exalate-issue-sync]

Question:
“The Xgboost manual ‘auto’ suggest the auto of the Cat Encoding is default/auto to one hot encoding but paragraph at the bottom suggest it’s auto to label encoder. Which one is true?label encoder or one hot encoding ”

[http://h2o-release.s3.amazonaws.com/h2o/rel-yu/1/docs-website/h2o-docs/data-science/xgboost.html|http://h2o-release.s3.amazonaws.com/h2o/rel-yu/1/docs-website/h2o-docs/data-science/xgboost.html]
its is not consistence what categorical_encoding uses for default XGBoost, (see Note under categorical_encoding where it suggest default is label_encoder)

however :
[https://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/algo-params/categorical_encoding.html|https://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/algo-params/categorical_encoding.html]
in ^^ this documentation there is NO note for XGBoost, only note explaining default is for deep learning.

please set the XGBoost categorical_encoding default as one hot encoding, explicitly in the documentation.

[h2o-ops]

JIRA Issue Migration Info

Jira Issue: PUBDEV-7781
Assignee: hannah.tillman
Reporter: Retima Dangol
State: Resolved
Fix Version: 3.32.0.1
Attachments: N/A
Development PRs: Available

Linked PRs from JIRA

#4929
#4992