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Similarly to Isolation Forest in sklearn, we want to have a contamination parameter that could be used to mark anomalous observations.
When contamination parameter is specified, H2O will sort the observation by the anomaly score and take the top observations, contamination ratio specifies how many observations will be marked.
The text was updated successfully, but these errors were encountered:
Jira Issue: PUBDEV-7640
Assignee: Michal Kurka
Reporter: Michal Kurka
State: Resolved
Fix Version: 3.30.1.1
Attachments: N/A
Development PRs: Available
Similarly to Isolation Forest in sklearn, we want to have a contamination parameter that could be used to mark anomalous observations.
When contamination parameter is specified, H2O will sort the observation by the anomaly score and take the top observations, contamination ratio specifies how many observations will be marked.
The text was updated successfully, but these errors were encountered: