This functionality is experimental and may be changed or removed completely in a future release. Elastic will take a best effort approach to fix any issues, but experimental features are not subject to the support SLA of official GA features.
Retrieves one or more Trained Model statistics.
The API accepts a
GetTrainedModelsStatsRequest object and returns a
GetTrainedModelsStatsRequest requires either a Trained Model ID, a comma-separated list of
IDs, or the special wildcard
_all to get stats for all Trained Models.
When executing a
GetTrainedModelsStatsRequest in the following manner, the client waits
GetTrainedModelsStatsResponse to be returned before continuing with code execution:
GetTrainedModelsStatsResponse response = client.machineLearning().getTrainedModelsStats(request, RequestOptions.DEFAULT);
Synchronous calls may throw an
IOException in case of either failing to
parse the REST response in the high-level REST client, the request times out
or similar cases where there is no response coming back from the server.
In cases where the server returns a
5xx error code, the high-level
client tries to parse the response body error details instead and then throws
ElasticsearchException and adds the original
ResponseException as a
suppressed exception to it.
GetTrainedModelsStatsRequest can also be done in an asynchronous fashion so that
the client can return directly. Users need to specify how the response or
potential failures will be handled by passing the request and a listener to the
asynchronous get-trained-models-stats method:
The asynchronous method does not block and returns immediately. Once it is
ActionListener is called back using the
if the execution successfully completed or using the
onFailure method if
it failed. Failure scenarios and expected exceptions are the same as in the
synchronous execution case.
A typical listener for
get-trained-models-stats looks like:
GetTrainedModelsStatsResponse contains the statistics
for the requested Trained Model.
List<TrainedModelStats> models = response.getTrainedModelStats();