use of com.google.cloud.automl.v1.ModelName in project java-automl by googleapis.
the class GetModelEvaluationTest method setUp.
@Before
public void setUp() throws IOException {
// Get a model evaluation ID from the List request first to be used in the Get call
try (AutoMlClient client = AutoMlClient.create()) {
ModelName modelFullId = ModelName.of(PROJECT_ID, "us-central1", MODEL_ID);
ListModelEvaluationsRequest modelEvaluationsrequest = ListModelEvaluationsRequest.newBuilder().setParent(modelFullId.toString()).build();
ModelEvaluation modelEvaluation = client.listModelEvaluations(modelEvaluationsrequest).getPage().getValues().iterator().next();
modelEvaluationId = modelEvaluation.getName().split("/modelEvaluations/")[1];
}
bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
originalPrintStream = System.out;
System.setOut(out);
}
use of com.google.cloud.automl.v1.ModelName in project java-automl by googleapis.
the class VisionObjectDetectionDeployModelNodeCount method visionObjectDetectionDeployModelNodeCount.
// Deploy a model for prediction with a specified node count (can be used to redeploy a model)
static void visionObjectDetectionDeployModelNodeCount(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);
ImageObjectDetectionModelDeploymentMetadata metadata = ImageObjectDetectionModelDeploymentMetadata.newBuilder().setNodeCount(2).build();
DeployModelRequest request = DeployModelRequest.newBuilder().setName(modelFullId.toString()).setImageObjectDetectionModelDeploymentMetadata(metadata).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 ClassificationUndeployModel method classificationUndeployModel.
// Deploy a model
static void classificationUndeployModel(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);
// Build deploy model request.
UndeployModelRequest undeployModelRequest = UndeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
// Deploy a model with the deploy model request.
OperationFuture<Empty, OperationMetadata> future = client.undeployModelAsync(undeployModelRequest);
future.get();
// Display the deployment details of model.
System.out.println("Model undeploy finished");
}
}
use of com.google.cloud.automl.v1.ModelName in project java-automl by googleapis.
the class ClassificationDeployModel method classificationDeployModel.
// Deploy a model
static void classificationDeployModel(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);
// Build deploy model request.
DeployModelRequest deployModelRequest = DeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
// Deploy a model with the deploy model request.
OperationFuture<Empty, OperationMetadata> future = client.deployModelAsync(deployModelRequest);
future.get();
// Display the deployment details of model.
System.out.println("Model deployment finished");
}
}
use of com.google.cloud.automl.v1.ModelName in project java-automl by googleapis.
the class ListModelEvaluations method listModelEvaluations.
// List model evaluations
static void listModelEvaluations(String projectId, String modelId) throws IOException {
// 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);
ListModelEvaluationsRequest modelEvaluationsrequest = ListModelEvaluationsRequest.newBuilder().setParent(modelFullId.toString()).build();
// List all the model evaluations in the model by applying filter.
System.out.println("List of model evaluations:");
for (ModelEvaluation modelEvaluation : client.listModelEvaluations(modelEvaluationsrequest).iterateAll()) {
System.out.format("Model Evaluation Name: %s%n", modelEvaluation.getName());
System.out.format("Model Annotation Spec Id: %s", modelEvaluation.getAnnotationSpecId());
System.out.println("Create Time:");
System.out.format("\tseconds: %s%n", modelEvaluation.getCreateTime().getSeconds());
System.out.format("\tnanos: %s", modelEvaluation.getCreateTime().getNanos() / 1e9);
System.out.format("Evalution Example Count: %d%n", modelEvaluation.getEvaluatedExampleCount());
System.out.format("Tables Model Evaluation Metrics: %s%n", modelEvaluation.getClassificationEvaluationMetrics());
}
}
}
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