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Example 26 with Dataset

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

the class ListDatasets method listDatasets.

// List the datasets
static void listDatasets(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");
        ListDatasetsRequest request = ListDatasetsRequest.newBuilder().setParent(projectLocation.toString()).build();
        // List all the datasets available in the region by applying filter.
        System.out.println("List of datasets:");
        for (Dataset dataset : client.listDatasets(request).iterateAll()) {
            // Display the dataset information
            System.out.format("%nDataset 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_video_object_tracking_list_datasets_beta]
            // [END automl_tables_list_datasets]
            System.out.format("Video classification dataset metadata: %s%n", dataset.getVideoClassificationDatasetMetadata());
            // [END automl_video_classification_list_datasets_beta]
            // [START automl_video_object_tracking_list_datasets_beta]
            System.out.format("Video object tracking dataset metadata: %s%n", dataset.getVideoObjectTrackingDatasetMetadata());
            // [END automl_video_object_tracking_list_datasets_beta]
            // [START automl_tables_list_datasets]
            System.out.format("Tables dataset metadata: %s%n", dataset.getTablesDatasetMetadata());
        // [START automl_video_classification_list_datasets_beta]
        // [START automl_video_object_tracking_list_datasets_beta]
        }
    }
}
Also used : Dataset(com.google.cloud.automl.v1beta1.Dataset) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient) LocationName(com.google.cloud.automl.v1beta1.LocationName) ListDatasetsRequest(com.google.cloud.automl.v1beta1.ListDatasetsRequest)

Example 27 with Dataset

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

the class LanguageSentimentAnalysisCreateDataset 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 text classification type for the dataset.
        TextSentimentDatasetMetadata metadata = TextSentimentDatasetMetadata.newBuilder().setSentimentMax(// Possible max sentiment score: 1-10
        4).build();
        Dataset dataset = Dataset.newBuilder().setDisplayName(displayName).setTextSentimentDatasetMetadata(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);
    }
}
Also used : Dataset(com.google.cloud.automl.v1.Dataset) TextSentimentDatasetMetadata(com.google.cloud.automl.v1.TextSentimentDatasetMetadata) OperationMetadata(com.google.cloud.automl.v1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient) LocationName(com.google.cloud.automl.v1.LocationName)

Example 28 with Dataset

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

the class ListDatasets method listDatasets.

// List the datasets
static void listDatasets(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");
        ListDatasetsRequest request = ListDatasetsRequest.newBuilder().setParent(projectLocation.toString()).build();
        // List all the datasets available in the region by applying filter.
        System.out.println("List of datasets:");
        for (Dataset dataset : client.listDatasets(request).iterateAll()) {
            // Display the dataset information
            System.out.format("\nDataset 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_list_datasets]
            // [END automl_language_text_classification_list_datasets]
            // [END automl_translate_list_datasets]
            // [END automl_vision_classification_list_datasets]
            // [END automl_vision_object_detection_list_datasets]
            System.out.format("Text extraction dataset metadata: %s\n", dataset.getTextExtractionDatasetMetadata());
            // [END automl_language_entity_extraction_list_datasets]
            // [START automl_language_sentiment_analysis_list_datasets]
            System.out.format("Text sentiment dataset metadata: %s\n", dataset.getTextSentimentDatasetMetadata());
            // [END automl_language_sentiment_analysis_list_datasets]
            // [START automl_language_text_classification_list_datasets]
            System.out.format("Text classification dataset metadata: %s\n", dataset.getTextClassificationDatasetMetadata());
            // [END automl_language_text_classification_list_datasets]
            // [START automl_translate_list_datasets]
            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_list_datasets]
            // [START automl_vision_classification_list_datasets]
            System.out.format("Image classification dataset metadata: %s\n", dataset.getImageClassificationDatasetMetadata());
            // [END automl_vision_classification_list_datasets]
            // [START automl_vision_object_detection_list_datasets]
            System.out.format("Image object detection dataset metadata: %s\n", dataset.getImageObjectDetectionDatasetMetadata());
        // [START automl_language_entity_extraction_list_datasets]
        // [START automl_language_sentiment_analysis_list_datasets]
        // [START automl_language_text_classification_list_datasets]
        // [START automl_translate_list_datasets]
        // [START automl_vision_classification_list_datasets]
        }
    }
}
Also used : Dataset(com.google.cloud.automl.v1.Dataset) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient) LocationName(com.google.cloud.automl.v1.LocationName) ListDatasetsRequest(com.google.cloud.automl.v1.ListDatasetsRequest)

Example 29 with Dataset

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);
    }
}
Also used : TranslationDatasetMetadata(com.google.cloud.automl.v1.TranslationDatasetMetadata) Dataset(com.google.cloud.automl.v1.Dataset) OperationMetadata(com.google.cloud.automl.v1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient) LocationName(com.google.cloud.automl.v1.LocationName)

Example 30 with Dataset

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

the class VideoClassificationCreateDataset 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");
        VideoClassificationDatasetMetadata metadata = VideoClassificationDatasetMetadata.newBuilder().build();
        Dataset dataset = Dataset.newBuilder().setDisplayName(displayName).setVideoClassificationDatasetMetadata(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);
    }
}
Also used : VideoClassificationDatasetMetadata(com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) Dataset(com.google.cloud.automl.v1beta1.Dataset) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient) LocationName(com.google.cloud.automl.v1beta1.LocationName)

Aggregations

IOException (java.io.IOException)14 DatasetServiceClient (com.google.cloud.aiplatform.v1beta1.DatasetServiceClient)10 DatasetServiceSettings (com.google.cloud.aiplatform.v1beta1.DatasetServiceSettings)10 ByteArrayOutputStream (java.io.ByteArrayOutputStream)10 PrintStream (java.io.PrintStream)10 Before (org.junit.Before)10 Dataset (com.google.cloud.datalabeling.v1beta1.Dataset)9 ArrayList (java.util.ArrayList)9 AutoMlClient (com.google.cloud.automl.v1.AutoMlClient)8 Dataset (com.google.cloud.automl.v1.Dataset)8 LocationName (com.google.cloud.aiplatform.v1.LocationName)7 LocationName (com.google.cloud.automl.v1.LocationName)7 DataLabelingServiceClient (com.google.cloud.datalabeling.v1beta1.DataLabelingServiceClient)7 ProjectName (com.google.cloud.datalabeling.v1beta1.ProjectName)7 After (org.junit.After)7 CreateDatasetOperationMetadata (com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata)6 Dataset (com.google.cloud.aiplatform.v1.Dataset)6 DatasetServiceClient (com.google.cloud.aiplatform.v1.DatasetServiceClient)6 DatasetServiceSettings (com.google.cloud.aiplatform.v1.DatasetServiceSettings)6 OperationMetadata (com.google.cloud.automl.v1.OperationMetadata)6