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

Example 66 with AutoMlClient

use of com.google.cloud.automl.v1beta1.AutoMlClient 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 67 with AutoMlClient

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

the class ListModels method listModels.

// List the models available in the specified location
static void listModels(String projectId) throws IOException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (AutoMlClient client = AutoMlClient.create()) {
        // A resource that represents Google Cloud Platform location.
        LocationName projectLocation = LocationName.of(projectId, "us-central1");
        // Create list models request.
        ListModelsRequest listModelsRequest = ListModelsRequest.newBuilder().setParent(projectLocation.toString()).setFilter("").build();
        // List all the models available in the region by applying filter.
        System.out.println("List of models:");
        for (Model model : client.listModels(listModelsRequest).iterateAll()) {
            // Display the model information.
            System.out.format("Model name: %s%n", model.getName());
            // To get the model id, you have to parse it out of the `name` field. As models Ids are
            // required for other methods.
            // Name Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
            String[] names = model.getName().split("/");
            String retrievedModelId = names[names.length - 1];
            System.out.format("Model id: %s%n", retrievedModelId);
            System.out.format("Model display name: %s%n", model.getDisplayName());
            System.out.println("Model create time:");
            System.out.format("\tseconds: %s%n", model.getCreateTime().getSeconds());
            System.out.format("\tnanos: %s%n", model.getCreateTime().getNanos());
            System.out.format("Model deployment state: %s%n", model.getDeploymentState());
        }
    }
}

Example 68 with AutoMlClient

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

the class VideoClassificationCreateDatasetTest method tearDown.

@After
public void tearDown() throws InterruptedException, ExecutionException, IOException {
    // Delete the created dataset
    try (AutoMlClient client = AutoMlClient.create()) {
        // Get the full path of the dataset.
        DatasetName datasetFullId = DatasetName.of(PROJECT_ID, "us-central1", datasetId);
        client.deleteDatasetAsync(datasetFullId).get();
    }
    System.setOut(originalPrintStream);
}

Example 69 with AutoMlClient

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

the class VideoObjectTrackingCreateDatasetTest method tearDown.

@After
public void tearDown() throws InterruptedException, ExecutionException, IOException {
    // Delete the created dataset
    try (AutoMlClient client = AutoMlClient.create()) {
        // Get the full path of the dataset.
        DatasetName datasetFullId = DatasetName.of(PROJECT_ID, "us-central1", datasetId);
        client.deleteDatasetAsync(datasetFullId).get();
    }
    System.setOut(originalPrintStream);
}

Example 70 with AutoMlClient

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