Synchronizes Kibana saved objects for machine learning jobs and trained models in the default space. You must have all privileges for the Machine Learning feature in the Analytics section of the Kibana feature privileges. This API runs automatically when you start Kibana and periodically thereafter.
If a saved object for an anomaly detection job is missing a datafeed identifier, it is added when you run the sync machine learning saved objects API.
<string>object
successboolean
The success or failure of the synchronization.
datafeedsRemovedmapstring to object
If a saved object for an anomaly detection job references a datafeed that no longer exists, it is deleted when you run the sync machine learning saved objects API.
<string>object
successboolean
The success or failure of the synchronization.
savedObjectsCreatedobject
If saved objects are missing for machine learning jobs or trained models, they are created when you run the sync machine learning saved objects API.
anomaly-detectormapstring to object
If saved objects are missing for anomaly detection jobs, they are created.
<string>object
successboolean
The success or failure of the synchronization.
data-frame-analyticsmapstring to object
If saved objects are missing for data frame analytics jobs, they are created.
<string>object
successboolean
The success or failure of the synchronization.
trained-modelmapstring to object
If saved objects are missing for trained models, they are created.
<string>object
successboolean
The success or failure of the synchronization.
savedObjectsDeletedobject
If saved objects exist for machine learning jobs or trained models that no longer exist, they are deleted when you run the sync machine learning saved objects API.
anomaly-detectormapstring to object
If there are saved objects exist for nonexistent anomaly detection jobs, they are deleted.
<string>object
successboolean
The success or failure of the synchronization.
data-frame-analyticsmapstring to object
If there are saved objects exist for nonexistent data frame analytics jobs, they are deleted.
<string>object
successboolean
The success or failure of the synchronization.
trained-modelmapstring to object
If there are saved objects exist for nonexistent trained models, they are deleted.