use of com.google.cloud.automl.v1.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());
}
}
}
use of com.google.cloud.automl.v1.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());
}
}
}
use of com.google.cloud.automl.v1.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);
}
use of com.google.cloud.automl.v1.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);
}
use of com.google.cloud.automl.v1.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);
}
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