Package com.google.cloud.automl.v1beta1

A client to Cloud AutoML API.

See: Description

Class Summary

Class	Description
AutoMlClient	Service Description: AutoML Server API.
AutoMlClient.ListDatasetsFixedSizeCollection
AutoMlClient.ListDatasetsPage
AutoMlClient.ListDatasetsPagedResponse
AutoMlClient.ListModelEvaluationsFixedSizeCollection
AutoMlClient.ListModelEvaluationsPage
AutoMlClient.ListModelEvaluationsPagedResponse
AutoMlClient.ListModelsFixedSizeCollection
AutoMlClient.ListModelsPage
AutoMlClient.ListModelsPagedResponse
AutoMlSettings	Settings class to configure an instance of AutoMlClient.
AutoMlSettings.Builder	Builder for AutoMlSettings.
PredictionServiceClient	Service Description: AutoML Prediction API.
PredictionServiceSettings	Settings class to configure an instance of PredictionServiceClient.
PredictionServiceSettings.Builder	Builder for PredictionServiceSettings.

Package com.google.cloud.automl.v1beta1 Description

A client to Cloud AutoML API.

The interfaces provided are listed below, along with usage samples.

======================= PredictionServiceClient =======================

Service Description: AutoML Prediction API.

Sample for PredictionServiceClient:

 
 try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   ExamplePayload payload = ExamplePayload.newBuilder().build();
   Map<String, String> params = new HashMap<>();
   PredictResponse response = predictionServiceClient.predict(name, payload, params);
 }
 
 

============ AutoMlClient ============

Service Description: AutoML Server API.

The resource names are assigned by the server. The server never reuses names that it has created after the resources with those names are deleted.

An ID of a resource is the last element of the item's resource name. For `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then the id for the item is `{dataset_id}`.

Sample for AutoMlClient:

 
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
   Dataset dataset = Dataset.newBuilder().build();
   Dataset response = autoMlClient.createDataset(parent, dataset);
 }