use of com.google.cloud.automl.v1beta1.Model in project java-automl by googleapis.
the class LanguageSentimentAnalysisPredictTest method setUp.
@Before
public void setUp() throws IOException, ExecutionException, InterruptedException {
// Verify that the model is deployed for prediction
try (AutoMlClient client = AutoMlClient.create()) {
ModelName modelFullId = ModelName.of(PROJECT_ID, "us-central1", MODEL_ID);
Model model = client.getModel(modelFullId);
if (model.getDeploymentState() == Model.DeploymentState.UNDEPLOYED) {
// Deploy the model if not deployed
DeployModelRequest request = DeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
client.deployModelAsync(request).get();
}
}
bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
originalPrintStream = System.out;
System.setOut(out);
}
use of com.google.cloud.automl.v1beta1.Model in project java-automl by googleapis.
the class VisionObjectDetectionPredictTest method setUp.
@Before
public void setUp() throws IOException, ExecutionException, InterruptedException {
// Verify that the model is deployed for prediction
try (AutoMlClient client = AutoMlClient.create()) {
ModelName modelFullId = ModelName.of(PROJECT_ID, "us-central1", MODEL_ID);
Model model = client.getModel(modelFullId);
if (model.getDeploymentState() == Model.DeploymentState.UNDEPLOYED) {
// Deploy the model if not deployed
DeployModelRequest request = DeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
client.deployModelAsync(request).get();
}
}
bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
originalPrintStream = System.out;
System.setOut(out);
}
use of com.google.cloud.automl.v1beta1.Model in project java-automl by googleapis.
the class PredictionApiIT method setUp.
@Before
public void setUp() throws IOException, ExecutionException, InterruptedException, TimeoutException {
// Verify that the model is deployed for prediction
try (AutoMlClient client = AutoMlClient.create()) {
ModelName modelFullId = ModelName.of(PROJECT_ID, "us-central1", modelId);
Model model = client.getModel(modelFullId);
if (model.getDeploymentState() == Model.DeploymentState.UNDEPLOYED) {
// Deploy the model if not deployed
DeployModelRequest request = DeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
Future future = client.deployModelAsync(request);
future.get(30, TimeUnit.MINUTES);
}
}
bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
originalPrintStream = System.out;
System.setOut(out);
}
use of com.google.cloud.automl.v1beta1.Model in project java-automl by googleapis.
the class PredictionApiIT method setUp.
@Before
public void setUp() throws IOException, ExecutionException, InterruptedException, TimeoutException {
// Verify that the model is deployed for prediction
try (AutoMlClient client = AutoMlClient.create()) {
ModelName modelFullId = ModelName.of(PROJECT_ID, "us-central1", modelId);
Model model = client.getModel(modelFullId);
if (model.getDeploymentState() == Model.DeploymentState.UNDEPLOYED) {
// Deploy the model if not deployed
DeployModelRequest request = DeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
Future future = client.deployModelAsync(request);
future.get(30, TimeUnit.MINUTES);
}
}
bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
System.setOut(out);
}
use of com.google.cloud.automl.v1beta1.Model in project xtext-core by eclipse.
the class Bug299395TestLanguageSemanticSequencer method sequence.
@Override
public void sequence(ISerializationContext context, EObject semanticObject) {
EPackage epackage = semanticObject.eClass().getEPackage();
ParserRule rule = context.getParserRule();
Action action = context.getAssignedAction();
Set<Parameter> parameters = context.getEnabledBooleanParameters();
if (epackage == Bug299395Package.eINSTANCE)
switch(semanticObject.eClass().getClassifierID()) {
case Bug299395Package.MODEL:
sequence_Model(context, (Model) semanticObject);
return;
case Bug299395Package.SUB_MODEL:
sequence_SubModel(context, (SubModel) semanticObject);
return;
}
if (errorAcceptor != null)
errorAcceptor.accept(diagnosticProvider.createInvalidContextOrTypeDiagnostic(semanticObject, context));
}
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