Examples with DeployModelRequest com.google.cloud.automl.v1beta1.DeployModelRequest used on opensource projects

Example 1 with DeployModelRequest

use of com.google.cloud.automl.v1beta1.DeployModelRequest in project java-automl by googleapis.

the class DeployModel method deployModel.

// Deploy a model for prediction
static void deployModel(String projectId, String modelId) throws IOException, ExecutionException, InterruptedException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (AutoMlClient client = AutoMlClient.create()) {
        // Get the full path of the model.
        ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);
        DeployModelRequest request = DeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
        OperationFuture<Empty, OperationMetadata> future = client.deployModelAsync(request);
        future.get();
        System.out.println("Model deployment finished");
    }
}

Example 2 with DeployModelRequest

use of com.google.cloud.automl.v1beta1.DeployModelRequest in project java-automl by googleapis.

the class ObjectDetectionDeployModelNodeCount method objectDetectionDeployModelNodeCount.

static void objectDetectionDeployModelNodeCount(String projectId, String modelId) throws IOException, ExecutionException, InterruptedException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (AutoMlClient client = AutoMlClient.create()) {
        // Get the full path of the model.
        ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);
        // Set how many nodes the model is deployed on
        ImageObjectDetectionModelDeploymentMetadata deploymentMetadata = ImageObjectDetectionModelDeploymentMetadata.newBuilder().setNodeCount(2).build();
        DeployModelRequest request = DeployModelRequest.newBuilder().setName(modelFullId.toString()).setImageObjectDetectionModelDeploymentMetadata(deploymentMetadata).build();
        // Deploy the model
        OperationFuture<Empty, OperationMetadata> future = client.deployModelAsync(request);
        future.get();
        System.out.println("Model deployment on 2 nodes finished");
    }
}

Example 3 with DeployModelRequest

use of com.google.cloud.automl.v1beta1.DeployModelRequest in project java-automl by googleapis.

the class DeployModel method deployModel.

// Deploy a model for prediction
static void deployModel(String projectId, String modelId) throws IOException, ExecutionException, InterruptedException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (AutoMlClient client = AutoMlClient.create()) {
        // Get the full path of the model.
        ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);
        DeployModelRequest request = DeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
        OperationFuture<Empty, OperationMetadata> future = client.deployModelAsync(request);
        future.get();
        System.out.println("Model deployment finished");
    }
}

Example 4 with DeployModelRequest

use of com.google.cloud.automl.v1beta1.DeployModelRequest 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);
}

Example 5 with DeployModelRequest

use of com.google.cloud.automl.v1beta1.DeployModelRequest 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);
}