use of com.google.cloud.automl.v1beta1.LocationName in project java-automl by googleapis.
the class VisionClassificationCreateDataset method createDataset.
// Create a dataset
static void createDataset(String projectId, String displayName) throws IOException, ExecutionException, InterruptedException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, "us-central1");
// Specify the classification type
// Types:
// MultiLabel: Multiple labels are allowed for one example.
// MultiClass: At most one label is allowed per example.
ClassificationType classificationType = ClassificationType.MULTILABEL;
ImageClassificationDatasetMetadata metadata = ImageClassificationDatasetMetadata.newBuilder().setClassificationType(classificationType).build();
Dataset dataset = Dataset.newBuilder().setDisplayName(displayName).setImageClassificationDatasetMetadata(metadata).build();
OperationFuture<Dataset, OperationMetadata> future = client.createDatasetAsync(projectLocation, dataset);
Dataset createdDataset = future.get();
// Display the dataset information.
System.out.format("Dataset name: %s\n", createdDataset.getName());
// To get the dataset id, you have to parse it out of the `name` field. As dataset Ids are
// required for other methods.
// Name Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
String[] names = createdDataset.getName().split("/");
String datasetId = names[names.length - 1];
System.out.format("Dataset id: %s\n", datasetId);
}
}
use of com.google.cloud.automl.v1beta1.LocationName in project java-automl by googleapis.
the class VisionObjectDetectionCreateDataset method createDataset.
// Create a dataset
static void createDataset(String projectId, String displayName) throws IOException, ExecutionException, InterruptedException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, "us-central1");
ImageObjectDetectionDatasetMetadata metadata = ImageObjectDetectionDatasetMetadata.newBuilder().build();
Dataset dataset = Dataset.newBuilder().setDisplayName(displayName).setImageObjectDetectionDatasetMetadata(metadata).build();
OperationFuture<Dataset, OperationMetadata> future = client.createDatasetAsync(projectLocation, dataset);
Dataset createdDataset = future.get();
// Display the dataset information.
System.out.format("Dataset name: %s\n", createdDataset.getName());
// To get the dataset id, you have to parse it out of the `name` field. As dataset Ids are
// required for other methods.
// Name Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
String[] names = createdDataset.getName().split("/");
String datasetId = names[names.length - 1];
System.out.format("Dataset id: %s\n", datasetId);
}
}
use of com.google.cloud.automl.v1beta1.LocationName in project java-automl by googleapis.
the class LanguageSentimentAnalysisCreateModel method createModel.
// Create a model
static void createModel(String projectId, String datasetId, String displayName) throws IOException, ExecutionException, InterruptedException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, "us-central1");
// Set model metadata.
System.out.println(datasetId);
TextSentimentModelMetadata metadata = TextSentimentModelMetadata.newBuilder().build();
Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setTextSentimentModelMetadata(metadata).build();
// Create a model with the model metadata in the region.
OperationFuture<Model, OperationMetadata> future = client.createModelAsync(projectLocation, model);
// OperationFuture.get() will block until the model is created, which may take several hours.
// You can use OperationFuture.getInitialFuture to get a future representing the initial
// response to the request, which contains information while the operation is in progress.
System.out.format("Training operation name: %s\n", future.getInitialFuture().get().getName());
System.out.println("Training started...");
}
}
use of com.google.cloud.automl.v1beta1.LocationName in project java-automl by googleapis.
the class DeleteDatasetTest method setUp.
@Before
public void setUp() throws IOException {
// Create a fake dataset to be deleted
// Create a random dataset name with a length of 32 characters (max allowed by AutoML)
// To prevent name collisions when running tests in multiple java versions at once.
// AutoML doesn't allow "-", but accepts "_"
String datasetName = String.format("test_%s", UUID.randomUUID().toString().replace("-", "_").substring(0, 26));
try (AutoMlClient client = AutoMlClient.create()) {
LocationName projectLocation = LocationName.of(PROJECT_ID, "us-central1");
TextExtractionDatasetMetadata metadata = TextExtractionDatasetMetadata.newBuilder().build();
Dataset dataset = Dataset.newBuilder().setDisplayName(datasetName).setTextExtractionDatasetMetadata(metadata).build();
Dataset createdDataset = client.createDataset(projectLocation, dataset);
String[] names = createdDataset.getName().split("/");
datasetId = names[names.length - 1];
}
bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
originalPrintStream = System.out;
System.setOut(out);
}
use of com.google.cloud.automl.v1beta1.LocationName in project java-automl by googleapis.
the class AutoMlClientTest method listModelsTest.
@Test
public void listModelsTest() throws Exception {
Model responsesElement = Model.newBuilder().build();
ListModelsResponse expectedResponse = ListModelsResponse.newBuilder().setNextPageToken("").addAllModel(Arrays.asList(responsesElement)).build();
mockAutoMl.addResponse(expectedResponse);
LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
ListModelsPagedResponse pagedListResponse = client.listModels(parent);
List<Model> resources = Lists.newArrayList(pagedListResponse.iterateAll());
Assert.assertEquals(1, resources.size());
Assert.assertEquals(expectedResponse.getModelList().get(0), resources.get(0));
List<AbstractMessage> actualRequests = mockAutoMl.getRequests();
Assert.assertEquals(1, actualRequests.size());
ListModelsRequest actualRequest = ((ListModelsRequest) actualRequests.get(0));
Assert.assertEquals(parent.toString(), actualRequest.getParent());
Assert.assertTrue(channelProvider.isHeaderSent(ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
}
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