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 models.
The API accepts a
GetTrainedModelsRequest object and returns a
GetTrainedModelsRequest requires either a trained model ID, a comma-separated list of
IDs, or the special wildcard
_all to get all trained models.
GetTrainedModelsRequest request = new GetTrainedModelsRequest("my-trained-model") .setPageParams(new PageParams(0, 1)) .includeDefinition() .includeTotalFeatureImportance() .includeFeatureImportanceBaseline() .setDecompressDefinition(false) .setAllowNoMatch(true) .setTags("regression") .setForExport(false);
Constructing a new GET request referencing an existing trained model.
Set the paging parameters.
Indicate if the complete model definition should be included.
Indicate if the total feature importance for the features used in training should is included in the metadata.
Indicate if the feature importance baselines that were used in training are included in the metadata.
Should the definition be fully decompressed on GET.
Allow empty response if no trained models match the provided ID patterns. If false, an error will be thrown if no trained models match the ID patterns.
An optional list of tags used to narrow the model search. A trained model can have many tags or none. The trained models in the response will contain all the provided tags.
Optional boolean value for requesting the trained model in a format that can then be put into another cluster. Certain fields that can only be set when the model is imported are removed.
When executing a
GetTrainedModelsRequest in the following manner, the client waits
GetTrainedModelsResponse to be returned before continuing with code execution:
GetTrainedModelsResponse response = client.machineLearning().getTrainedModels(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.
GetTrainedModelsRequest 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 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 looks like:
GetTrainedModelsResponse contains the requested trained model.
List<TrainedModelConfig> models = response.getTrainedModels();