Deeplearning missing_value_handling does not implement meanImputation correctly.

h2oai / h2o-3

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Deeplearning missing_value_handling does not implement meanImputation correctly. #11739

Open exalate-issue-sync[bot] opened 1 year ago

exalate-issue-sync[bot] commented 1 year ago

In working on deeplearning mojo, found that missing_values for categorical NAN is always set to the extra categorical level set aside during training. For numerical NAN, it is always filled 0 which is correct when standardize is set to True. Need to make sure this imputation method is consistent with other algos of H2O.

hasithjp commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-4862 Assignee: New H2O Bugs Reporter: Wendy State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A