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

Example 41 with ModelName

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

Example 42 with ModelName

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

the class AutoMlClientTest method listModelEvaluationsTest.

@Test
public void listModelEvaluationsTest() throws Exception {
    ModelEvaluation responsesElement = ModelEvaluation.newBuilder().build();
    ListModelEvaluationsResponse expectedResponse = ListModelEvaluationsResponse.newBuilder().setNextPageToken("").addAllModelEvaluation(Arrays.asList(responsesElement)).build();
    mockAutoMl.addResponse(expectedResponse);
    ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
    ListModelEvaluationsPagedResponse pagedListResponse = client.listModelEvaluations(parent);
    List<ModelEvaluation> resources = Lists.newArrayList(pagedListResponse.iterateAll());
    Assert.assertEquals(1, resources.size());
    Assert.assertEquals(expectedResponse.getModelEvaluationList().get(0), resources.get(0));
    List<AbstractMessage> actualRequests = mockAutoMl.getRequests();
    Assert.assertEquals(1, actualRequests.size());
    ListModelEvaluationsRequest actualRequest = ((ListModelEvaluationsRequest) actualRequests.get(0));
    Assert.assertEquals(parent.toString(), actualRequest.getParent());
    Assert.assertTrue(channelProvider.isHeaderSent(ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
}

Example 43 with ModelName

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

the class LanguageTextClassificationPredictTest 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);
}

Example 44 with ModelName

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

the class LanguageEntityExtractionPredictTest 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);
}

Example 45 with ModelName

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

the class VisionClassificationPredictTest 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);
}