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Example 56 with LocationName

use of com.google.cloud.security.privateca.v1.LocationName 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)

Example 57 with LocationName

use of com.google.cloud.security.privateca.v1.LocationName in project java-automl by googleapis.

the class VideoObjectTrackingCreateDataset 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");
        VideoObjectTrackingDatasetMetadata metadata = VideoObjectTrackingDatasetMetadata.newBuilder().build();
        Dataset dataset = Dataset.newBuilder().setDisplayName(displayName).setVideoObjectTrackingDatasetMetadata(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 : Dataset(com.google.cloud.automl.v1beta1.Dataset) VideoObjectTrackingDatasetMetadata(com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient) LocationName(com.google.cloud.automl.v1beta1.LocationName)

Example 58 with LocationName

use of com.google.cloud.security.privateca.v1.LocationName in project java-automl by googleapis.

the class LanguageEntityExtractionCreateDataset 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");
        TextExtractionDatasetMetadata metadata = TextExtractionDatasetMetadata.newBuilder().build();
        Dataset dataset = Dataset.newBuilder().setDisplayName(displayName).setTextExtractionDatasetMetadata(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) TextExtractionDatasetMetadata(com.google.cloud.automl.v1.TextExtractionDatasetMetadata) OperationMetadata(com.google.cloud.automl.v1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient) LocationName(com.google.cloud.automl.v1.LocationName)

Example 59 with LocationName

use of com.google.cloud.security.privateca.v1.LocationName in project java-automl by googleapis.

the class LanguageEntityExtractionCreateModel 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.
        TextExtractionModelMetadata metadata = TextExtractionModelMetadata.newBuilder().build();
        Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setTextExtractionModelMetadata(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...");
    }
}
Also used : Model(com.google.cloud.automl.v1.Model) OperationMetadata(com.google.cloud.automl.v1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient) TextExtractionModelMetadata(com.google.cloud.automl.v1.TextExtractionModelMetadata) LocationName(com.google.cloud.automl.v1.LocationName)

Example 60 with LocationName

use of com.google.cloud.security.privateca.v1.LocationName 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)

Aggregations

LocationName (com.google.cloud.aiplatform.v1.LocationName)36 Test (org.junit.Test)36 LocationName (com.google.privacy.dlp.v2.LocationName)22 OrganizationLocationName (com.google.privacy.dlp.v2.OrganizationLocationName)22 AbstractMessage (com.google.protobuf.AbstractMessage)19 LocationName (com.google.cloud.translate.v3beta1.LocationName)18 TranslationServiceClient (com.google.cloud.translate.v3beta1.TranslationServiceClient)18 AutoMlClient (com.google.cloud.automl.v1.AutoMlClient)17 LocationName (com.google.cloud.automl.v1.LocationName)17 JobServiceClient (com.google.cloud.aiplatform.v1.JobServiceClient)15 JobServiceSettings (com.google.cloud.aiplatform.v1.JobServiceSettings)15 Value (com.google.protobuf.Value)15 InvalidArgumentException (com.google.api.gax.rpc.InvalidArgumentException)14 Model (com.google.cloud.aiplatform.v1.Model)14 StatusRuntimeException (io.grpc.StatusRuntimeException)14 PipelineServiceClient (com.google.cloud.aiplatform.v1.PipelineServiceClient)13 PipelineServiceSettings (com.google.cloud.aiplatform.v1.PipelineServiceSettings)13 TrainingPipeline (com.google.cloud.aiplatform.v1.TrainingPipeline)13 LocationName (com.google.cloud.translate.v3.LocationName)13 TranslationServiceClient (com.google.cloud.translate.v3.TranslationServiceClient)13