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

Example 36 with Dataset

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

Example 37 with Dataset

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

Example 38 with Dataset

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

Example 39 with Dataset

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

the class LanguageTextClassificationCreateDataset 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;
        // Specify the text classification type for the dataset.
        TextClassificationDatasetMetadata metadata = TextClassificationDatasetMetadata.newBuilder().setClassificationType(classificationType).build();
        Dataset dataset = Dataset.newBuilder().setDisplayName(displayName).setTextClassificationDatasetMetadata(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);
    }
}

Example 40 with Dataset

use of com.google.cloud.automl.v1beta1.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]
    }
}