use of com.google.cloud.automl.v1beta1.LocationName in project java-automl by googleapis.
the class TablesCreateModel method createModel.
// Create a model
static void createModel(String projectId, String datasetId, String tableSpecId, String columnSpecId, String displayName) throws IOException, ExecutionException, InterruptedException {
// 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");
// Get the complete path of the column.
ColumnSpecName columnSpecName = ColumnSpecName.of(projectId, "us-central1", datasetId, tableSpecId, columnSpecId);
// Build the get column spec.
ColumnSpec targetColumnSpec = ColumnSpec.newBuilder().setName(columnSpecName.toString()).build();
// Set model metadata.
TablesModelMetadata metadata = TablesModelMetadata.newBuilder().setTargetColumnSpec(targetColumnSpec).setTrainBudgetMilliNodeHours(24000).build();
Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setTablesModelMetadata(metadata).build();
// Create a model with the model metadata in the region.
OperationFuture<Model, OperationMetadata> future = client.createModelAsync(projectLocation, model);
// OperationFuture.get() will block until the model is created, which may take several hours.
// You can use OperationFuture.getInitialFuture to get a future representing the initial
// response to the request, which contains information while the operation is in progress.
System.out.format("Training operation name: %s%n", future.getInitialFuture().get().getName());
System.out.println("Training started...");
}
}
use of com.google.cloud.automl.v1beta1.LocationName in project java-automl by googleapis.
the class VideoClassificationCreateModel method createModel.
// Create a model
static void createModel(String projectId, String datasetId, String displayName) throws IOException, ExecutionException, InterruptedException {
// 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");
// Set model metadata.
VideoClassificationModelMetadata metadata = VideoClassificationModelMetadata.newBuilder().build();
Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setVideoClassificationModelMetadata(metadata).build();
// Create a model with the model metadata in the region.
OperationFuture<Model, OperationMetadata> future = client.createModelAsync(projectLocation, model);
// OperationFuture.get() will block until the model is created, which may take several hours.
// You can use OperationFuture.getInitialFuture to get a future representing the initial
// response to the request, which contains information while the operation is in progress.
System.out.format("Training operation name: %s%n", future.getInitialFuture().get().getName());
System.out.println("Training started...");
}
}
use of com.google.cloud.automl.v1beta1.LocationName in project java-translate by googleapis.
the class BatchTranslateTextWithModel method batchTranslateTextWithModel.
// Batch translate text using AutoML Translation model
public static void batchTranslateTextWithModel(String projectId, String sourceLanguage, String targetLanguage, String inputUri, String outputUri, String modelId) throws IOException, ExecutionException, InterruptedException, TimeoutException {
// the "close" method on the client to safely clean up any remaining background resources.
try (TranslationServiceClient client = TranslationServiceClient.create()) {
// Supported Locations: `global`, [glossary location], or [model location]
// Glossaries must be hosted in `us-central1`
// Custom Models must use the same location as your model. (us-central1)
String location = "us-central1";
LocationName parent = LocationName.of(projectId, location);
// Configure the source of the file from a GCS bucket
GcsSource gcsSource = GcsSource.newBuilder().setInputUri(inputUri).build();
// Supported Mime Types: https://cloud.google.com/translate/docs/supported-formats
InputConfig inputConfig = InputConfig.newBuilder().setGcsSource(gcsSource).setMimeType("text/plain").build();
// Configure where to store the output in a GCS bucket
GcsDestination gcsDestination = GcsDestination.newBuilder().setOutputUriPrefix(outputUri).build();
OutputConfig outputConfig = OutputConfig.newBuilder().setGcsDestination(gcsDestination).build();
// Configure the model used in the request
String modelPath = String.format("projects/%s/locations/%s/models/%s", projectId, location, modelId);
// Build the request that will be sent to the API
BatchTranslateTextRequest request = BatchTranslateTextRequest.newBuilder().setParent(parent.toString()).setSourceLanguageCode(sourceLanguage).addTargetLanguageCodes(targetLanguage).addInputConfigs(inputConfig).setOutputConfig(outputConfig).putModels(targetLanguage, modelPath).build();
// Start an asynchronous request
OperationFuture<BatchTranslateResponse, BatchTranslateMetadata> future = client.batchTranslateTextAsync(request);
System.out.println("Waiting for operation to complete...");
// random number between 300 - 450 (maximum allowed seconds)
long randomNumber = ThreadLocalRandom.current().nextInt(450, 600);
BatchTranslateResponse response = future.get(randomNumber, TimeUnit.SECONDS);
// Display the translation for each input text provided
System.out.printf("Total Characters: %s\n", response.getTotalCharacters());
System.out.printf("Translated Characters: %s\n", response.getTranslatedCharacters());
}
}
use of com.google.cloud.automl.v1beta1.LocationName in project java-translate by googleapis.
the class TranslateTextWithModel method translateTextWithModel.
// Translating Text with Model
public static void translateTextWithModel(String projectId, String sourceLanguage, String targetLanguage, String text, String modelId) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (TranslationServiceClient client = TranslationServiceClient.create()) {
// Supported Locations: `global`, [glossary location], or [model location]
// Glossaries must be hosted in `us-central1`
// Custom Models must use the same location as your model. (us-central1)
String location = "us-central1";
LocationName parent = LocationName.of(projectId, location);
String modelPath = String.format("projects/%s/locations/%s/models/%s", projectId, location, modelId);
// Supported Mime Types: https://cloud.google.com/translate/docs/supported-formats
TranslateTextRequest request = TranslateTextRequest.newBuilder().setParent(parent.toString()).setMimeType("text/plain").setSourceLanguageCode(sourceLanguage).setTargetLanguageCode(targetLanguage).addContents(text).setModel(modelPath).build();
TranslateTextResponse response = client.translateText(request);
// Display the translation for each input text provided
for (Translation translation : response.getTranslationsList()) {
System.out.printf("Translated text: %s\n", translation.getTranslatedText());
}
}
}
use of com.google.cloud.automl.v1beta1.LocationName in project java-translate by googleapis.
the class BatchTranslateText method batchTranslateText.
// Batch translate text
public static void batchTranslateText(String projectId, String sourceLanguage, String targetLanguage, String inputUri, String outputUri) throws IOException, ExecutionException, InterruptedException, TimeoutException {
// the "close" method on the client to safely clean up any remaining background resources.
try (TranslationServiceClient client = TranslationServiceClient.create()) {
// Supported Locations: `us-central1`
LocationName parent = LocationName.of(projectId, "us-central1");
GcsSource gcsSource = GcsSource.newBuilder().setInputUri(inputUri).build();
// Supported Mime Types: https://cloud.google.com/translate/docs/supported-formats
InputConfig inputConfig = InputConfig.newBuilder().setGcsSource(gcsSource).setMimeType("text/plain").build();
GcsDestination gcsDestination = GcsDestination.newBuilder().setOutputUriPrefix(outputUri).build();
OutputConfig outputConfig = OutputConfig.newBuilder().setGcsDestination(gcsDestination).build();
BatchTranslateTextRequest request = BatchTranslateTextRequest.newBuilder().setParent(parent.toString()).setSourceLanguageCode(sourceLanguage).addTargetLanguageCodes(targetLanguage).addInputConfigs(inputConfig).setOutputConfig(outputConfig).build();
OperationFuture<BatchTranslateResponse, BatchTranslateMetadata> future = client.batchTranslateTextAsync(request);
System.out.println("Waiting for operation to complete...");
// random number between 300 - 450 (maximum allowed seconds)
long randomNumber = ThreadLocalRandom.current().nextInt(450, 600);
BatchTranslateResponse response = future.get(randomNumber, TimeUnit.SECONDS);
System.out.printf("Total Characters: %s\n", response.getTotalCharacters());
System.out.printf("Translated Characters: %s\n", response.getTranslatedCharacters());
}
}
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