use of com.google.cloud.automl.v1.ModelName 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");
}
}
use of com.google.cloud.automl.v1.ModelName 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");
}
}
use of com.google.cloud.automl.v1.ModelName in project java-automl by googleapis.
the class TablesGetModel method getModel.
// Demonstrates using the AutoML client to get model details.
public static void getModel(String projectId, String computeRegion, String modelId) throws IOException, StatusRuntimeException {
// 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, computeRegion, modelId);
// Get complete detail of the model.
Model model = client.getModel(modelFullId);
// Display the model information.
System.out.format("Model name: %s%n", model.getName());
System.out.format("Model Id: %s\n", model.getName().split("/")[model.getName().split("/").length - 1]);
System.out.format("Model display name: %s%n", model.getDisplayName());
System.out.format("Dataset Id: %s%n", model.getDatasetId());
System.out.println("Tables Model Metadata: ");
System.out.format("\tTraining budget: %s%n", model.getTablesModelMetadata().getTrainBudgetMilliNodeHours());
System.out.format("\tTraining cost: %s%n", model.getTablesModelMetadata().getTrainBudgetMilliNodeHours());
DateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss.SSSZ");
String createTime = dateFormat.format(new java.util.Date(model.getCreateTime().getSeconds() * 1000));
System.out.format("Model create time: %s%n", createTime);
System.out.format("Model deployment state: %s%n", model.getDeploymentState());
// Get features of top importance
for (TablesModelColumnInfo info : model.getTablesModelMetadata().getTablesModelColumnInfoList()) {
System.out.format("Column: %s - Importance: %.2f%n", info.getColumnDisplayName(), info.getFeatureImportance());
}
}
}
use of com.google.cloud.automl.v1.ModelName 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.v1.ModelName 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);
}
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