[[reference-ml-revert_model_snapshot]] //////// =========================================================================================================================== || || || || || || || ██████╗ ███████╗ █████╗ ██████╗ ███╗ ███╗███████╗ || || ██╔══██╗██╔════╝██╔══██╗██╔══██╗████╗ ████║██╔════╝ || || ██████╔╝█████╗ ███████║██║ ██║██╔████╔██║█████╗ || || ██╔══██╗██╔══╝ ██╔══██║██║ ██║██║╚██╔╝██║██╔══╝ || || ██║ ██║███████╗██║ ██║██████╔╝██║ ╚═╝ ██║███████╗ || || ╚═╝ ╚═╝╚══════╝╚═╝ ╚═╝╚═════╝ ╚═╝ ╚═╝╚══════╝ || || || || || || This file is autogenerated, DO NOT send pull requests that changes this file directly. || || You should update the script that does the generation, which can be found in: || || https://github.com/elastic/elastic-client-generator-js || || || || You can run the script with the following command: || || npm run elasticsearch -- --version || || || || || || || =========================================================================================================================== //////// [discrete] === client.ml.revertModelSnapshot Revert to a snapshot. The machine learning features react quickly to anomalous input, learning new behaviors in data. Highly anomalous input increases the variance in the models whilst the system learns whether this is a new step-change in behavior or a one-off event. In the case where this anomalous input is known to be a one-off, then it might be appropriate to reset the model state to a time before this event. For example, you might consider reverting to a saved snapshot after Black Friday or a critical system failure. {ref}/ml-revert-snapshot.html[{es} documentation] [discrete] ==== Function signature [source,ts] ---- (MlRevertModelSnapshotRequest, options?): Promise ---- [discrete] ===== `MlRevertModelSnapshotRequest` [source,ts] ---- interface MlRevertModelSnapshotRequest extends <> { job_id: <> snapshot_id: <> delete_intervening_results?: boolean } ---- [discrete] ===== `MlRevertModelSnapshotResponse` [source,ts] ---- interface MlRevertModelSnapshotResponse { model: MlModelSnapshot } ----