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com.google.cloud.automl.v1
The interfaces provided are listed below, along with usage samples.
PredictionServiceClient
Service Description: AutoML Prediction API.
On any input that is documented to expect a string parameter in snake_case or dash-case, either of those cases is accepted.
Sample for PredictionServiceClient:
// This snippet has been automatically generated for illustrative purposes only.
// It may require modifications to work in your environment.
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}
.
Currently the only supported location_id
is "us-central1".
On any input that is documented to expect a string parameter in snake_case or dash-case, either of those cases is accepted.
Sample for AutoMlClient:
// This snippet has been automatically generated for illustrative purposes only.
// It may require modifications to work in your environment.
try (AutoMlClient autoMlClient = AutoMlClient.create()) {
DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
Dataset response = autoMlClient.getDataset(name);
}
com.google.cloud.automl.v1.stub
com.google.cloud.automl.v1beta1
The interfaces provided are listed below, along with usage samples.
PredictionServiceClient
Service Description: AutoML Prediction API.
On any input that is documented to expect a string parameter in snake_case or kebab-case, either of those cases is accepted.
Sample for PredictionServiceClient:
// This snippet has been automatically generated for illustrative purposes only.
// It may require modifications to work in your environment.
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}
.
Currently the only supported location_id
is "us-central1".
On any input that is documented to expect a string parameter in snake_case or kebab-case, either of those cases is accepted.
Sample for AutoMlClient:
// This snippet has been automatically generated for illustrative purposes only.
// It may require modifications to work in your environment.
try (AutoMlClient autoMlClient = AutoMlClient.create()) {
LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
Dataset dataset = Dataset.newBuilder().build();
Dataset response = autoMlClient.createDataset(parent, dataset);
}