use of com.google.cloud.automl.v1.Dataset in project java-automl by googleapis.
the class GetDataset method getDataset.
// Get a dataset
static void getDataset(String projectId, String datasetId) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// Get the complete path of the dataset.
DatasetName datasetFullId = DatasetName.of(projectId, "us-central1", datasetId);
Dataset dataset = client.getDataset(datasetFullId);
// Display the dataset information
System.out.format("Dataset name: %s\n", dataset.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 = dataset.getName().split("/");
String retrievedDatasetId = names[names.length - 1];
System.out.format("Dataset id: %s\n", retrievedDatasetId);
System.out.format("Dataset display name: %s\n", dataset.getDisplayName());
System.out.println("Dataset create time:");
System.out.format("\tseconds: %s\n", dataset.getCreateTime().getSeconds());
System.out.format("\tnanos: %s\n", dataset.getCreateTime().getNanos());
// [END automl_language_sentiment_analysis_get_dataset]
// [END automl_language_text_classification_get_dataset]
// [END automl_translate_get_dataset]
// [END automl_vision_classification_get_dataset]
// [END automl_vision_object_detection_get_dataset]
System.out.format("Text extraction dataset metadata: %s\n", dataset.getTextExtractionDatasetMetadata());
// [END automl_language_entity_extraction_get_dataset]
// [START automl_language_sentiment_analysis_get_dataset]
System.out.format("Text sentiment dataset metadata: %s\n", dataset.getTextSentimentDatasetMetadata());
// [END automl_language_sentiment_analysis_get_dataset]
// [START automl_language_text_classification_get_dataset]
System.out.format("Text classification dataset metadata: %s\n", dataset.getTextClassificationDatasetMetadata());
// [END automl_language_text_classification_get_dataset]
// [START automl_translate_get_dataset]
System.out.println("Translation dataset metadata:");
System.out.format("\tSource language code: %s\n", dataset.getTranslationDatasetMetadata().getSourceLanguageCode());
System.out.format("\tTarget language code: %s\n", dataset.getTranslationDatasetMetadata().getTargetLanguageCode());
// [END automl_translate_get_dataset]
// [START automl_vision_classification_get_dataset]
System.out.format("Image classification dataset metadata: %s\n", dataset.getImageClassificationDatasetMetadata());
// [END automl_vision_classification_get_dataset]
// [START automl_vision_object_detection_get_dataset]
System.out.format("Image object detection dataset metadata: %s\n", dataset.getImageObjectDetectionDatasetMetadata());
// [START automl_language_entity_extraction_get_dataset]
// [START automl_language_sentiment_analysis_get_dataset]
// [START automl_language_text_classification_get_dataset]
// [START automl_translate_get_dataset]
// [START automl_vision_classification_get_dataset]
}
}
use of com.google.cloud.automl.v1.Dataset in project java-automl by googleapis.
the class SetEndpoint method setEndpoint.
// Change your endpoint
static void setEndpoint(String projectId) throws IOException {
// [START automl_set_endpoint]
AutoMlSettings settings = AutoMlSettings.newBuilder().setEndpoint("eu-automl.googleapis.com:443").build();
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
AutoMlClient client = AutoMlClient.create(settings);
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, "eu");
// [END automl_set_endpoint]
ListDatasetsRequest request = ListDatasetsRequest.newBuilder().setParent(projectLocation.toString()).setFilter("translation_dataset_metadata:*").build();
// List all the datasets available
System.out.println("List of datasets:");
for (Dataset dataset : client.listDatasets(request).iterateAll()) {
System.out.println(dataset);
}
client.close();
}
use of com.google.cloud.automl.v1.Dataset in project java-automl by googleapis.
the class TablesCreateDataset method createDataset.
// Create a dataset
static void createDataset(String projectId, String displayName) 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");
TablesDatasetMetadata metadata = TablesDatasetMetadata.newBuilder().build();
Dataset dataset = Dataset.newBuilder().setDisplayName(displayName).setTablesDatasetMetadata(metadata).build();
Dataset createdDataset = client.createDataset(projectLocation, dataset);
// 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.automl.v1.Dataset in project java-automl by googleapis.
the class VisionClassificationCreateDataset 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 classification type
// Types:
// MultiLabel: Multiple labels are allowed for one example.
// MultiClass: At most one label is allowed per example.
ClassificationType classificationType = ClassificationType.MULTILABEL;
ImageClassificationDatasetMetadata metadata = ImageClassificationDatasetMetadata.newBuilder().setClassificationType(classificationType).build();
Dataset dataset = Dataset.newBuilder().setDisplayName(displayName).setImageClassificationDatasetMetadata(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.automl.v1.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);
}
}
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