use of com.google.cloud.aiplatform.v1beta1.Dataset in project java-automl by googleapis.
the class TranslateCreateDataset method createDataset.
// Create a dataset
static void createDataset(String projectId, 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");
// Specify the source and target language.
TranslationDatasetMetadata translationDatasetMetadata = TranslationDatasetMetadata.newBuilder().setSourceLanguageCode("en").setTargetLanguageCode("ja").build();
Dataset dataset = Dataset.newBuilder().setDisplayName(displayName).setTranslationDatasetMetadata(translationDatasetMetadata).build();
OperationFuture<Dataset, OperationMetadata> future = client.createDatasetAsync(projectLocation, dataset);
Dataset createdDataset = future.get();
// Display the dataset information.
System.out.format("Dataset name: %s\n", createdDataset.getName());
// To get the dataset id, you have to parse it out of the `name` field. As dataset Ids are
// required for other methods.
// Name Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
String[] names = createdDataset.getName().split("/");
String datasetId = names[names.length - 1];
System.out.format("Dataset id: %s\n", datasetId);
}
}
use of com.google.cloud.aiplatform.v1beta1.Dataset in project olca-modules by GreenDelta.
the class EcoSpold2Export method exportProcess.
public void exportProcess(Process process) {
var ds = new DataSet();
ds.description = new ActivityDescription();
ds.masterData = new UserMasterData();
mapActivity(process, ds);
mapLocation(process, ds);
ProcessDoc.map(process, ds);
mapExchanges(process, ds);
mapParameters(process, ds);
MasterData.writeIndexEntry(ds);
var fileName = process.refId == null ? UUID.randomUUID().toString() : process.refId;
var file = new File(activityDir, fileName + ".spold");
EcoSpold2.write(ds, file);
}
use of com.google.cloud.aiplatform.v1beta1.Dataset in project openhab1-addons by openhab.
the class Meter method read.
/**
* Reads data from meter
*
* @return a map of DataSet objects with the obis as key.
*/
public Map<String, DataSet> read() {
// the frequently executed code (polling) goes here ...
Map<String, DataSet> dataSetMap = new HashMap<String, DataSet>();
Connection connection = new Connection(config.getSerialPort(), config.getInitMessage(), config.getEchoHandling(), config.getBaudRateChangeDelay());
try {
try {
connection.open();
} catch (IOException e) {
logger.error("Failed to open serial port {}: {}", config.getSerialPort(), e.getMessage());
return dataSetMap;
}
List<DataSet> dataSets = null;
try {
dataSets = connection.read();
for (DataSet dataSet : dataSets) {
logger.debug("DataSet: {};{};{}", dataSet.getId(), dataSet.getValue(), dataSet.getUnit());
dataSetMap.put(dataSet.getId(), dataSet);
}
} catch (IOException e) {
logger.error("IOException while trying to read: {}", e.getMessage());
} catch (TimeoutException e) {
logger.error("Read attempt timed out");
}
} finally {
connection.close();
}
return dataSetMap;
}
use of com.google.cloud.aiplatform.v1beta1.Dataset in project java-automl by googleapis.
the class VisionObjectDetectionCreateDataset method createDataset.
// Create a dataset
static void createDataset(String projectId, 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");
ImageObjectDetectionDatasetMetadata metadata = ImageObjectDetectionDatasetMetadata.newBuilder().build();
Dataset dataset = Dataset.newBuilder().setDisplayName(displayName).setImageObjectDetectionDatasetMetadata(metadata).build();
OperationFuture<Dataset, OperationMetadata> future = client.createDatasetAsync(projectLocation, dataset);
Dataset createdDataset = future.get();
// Display the dataset information.
System.out.format("Dataset name: %s\n", createdDataset.getName());
// To get the dataset id, you have to parse it out of the `name` field. As dataset Ids are
// required for other methods.
// Name Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
String[] names = createdDataset.getName().split("/");
String datasetId = names[names.length - 1];
System.out.format("Dataset id: %s\n", datasetId);
}
}
use of com.google.cloud.aiplatform.v1beta1.Dataset in project java-automl by googleapis.
the class DeleteDatasetTest method setUp.
@Before
public void setUp() throws IOException {
// Create a fake dataset to be deleted
// Create a random dataset name with a length of 32 characters (max allowed by AutoML)
// To prevent name collisions when running tests in multiple java versions at once.
// AutoML doesn't allow "-", but accepts "_"
String datasetName = String.format("test_%s", UUID.randomUUID().toString().replace("-", "_").substring(0, 26));
try (AutoMlClient client = AutoMlClient.create()) {
LocationName projectLocation = LocationName.of(PROJECT_ID, "us-central1");
TextExtractionDatasetMetadata metadata = TextExtractionDatasetMetadata.newBuilder().build();
Dataset dataset = Dataset.newBuilder().setDisplayName(datasetName).setTextExtractionDatasetMetadata(metadata).build();
Dataset createdDataset = client.createDataset(projectLocation, dataset);
String[] names = createdDataset.getName().split("/");
datasetId = names[names.length - 1];
}
bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
originalPrintStream = System.out;
System.setOut(out);
}
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