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Example 81 with LocationName

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

the class VisionClassificationCreateModel 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.
        ImageClassificationModelMetadata metadata = ImageClassificationModelMetadata.newBuilder().setTrainBudgetMilliNodeHours(24000).build();
        Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setImageClassificationModelMetadata(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 : ImageClassificationModelMetadata(com.google.cloud.automl.v1.ImageClassificationModelMetadata) Model(com.google.cloud.automl.v1.Model) OperationMetadata(com.google.cloud.automl.v1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient) LocationName(com.google.cloud.automl.v1.LocationName)

Example 82 with LocationName

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

the class VideoObjectTrackingCreateModel 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.
        VideoObjectTrackingModelMetadata metadata = VideoObjectTrackingModelMetadata.newBuilder().build();
        Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setVideoObjectTrackingModelMetadata(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.v1beta1.Model) VideoObjectTrackingModelMetadata(com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) OperationMetadata(com.google.cloud.automl.v1beta1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient) LocationName(com.google.cloud.automl.v1beta1.LocationName)

Example 83 with LocationName

use of com.google.cloud.kms.v1.LocationName 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();
}
Also used : Dataset(com.google.cloud.automl.v1beta1.Dataset) AutoMlSettings(com.google.cloud.automl.v1beta1.AutoMlSettings) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient) LocationName(com.google.cloud.automl.v1beta1.LocationName) ListDatasetsRequest(com.google.cloud.automl.v1beta1.ListDatasetsRequest)

Example 84 with LocationName

use of com.google.cloud.kms.v1.LocationName 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);
    }
}
Also used : TablesDatasetMetadata(com.google.cloud.automl.v1beta1.TablesDatasetMetadata) Dataset(com.google.cloud.automl.v1beta1.Dataset) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient) LocationName(com.google.cloud.automl.v1beta1.LocationName)

Example 85 with LocationName

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

the class ListModels method listModels.

// List the models available in the specified location
static void listModels(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");
        // Create list models request.
        ListModelsRequest listModelsRequest = ListModelsRequest.newBuilder().setParent(projectLocation.toString()).setFilter("").build();
        // List all the models available in the region by applying filter.
        System.out.println("List of models:");
        for (Model model : client.listModels(listModelsRequest).iterateAll()) {
            // Display the model information.
            System.out.format("Model name: %s\n", model.getName());
            // To get the model id, you have to parse it out of the `name` field. As models Ids are
            // required for other methods.
            // Name Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
            String[] names = model.getName().split("/");
            String retrievedModelId = names[names.length - 1];
            System.out.format("Model id: %s\n", retrievedModelId);
            System.out.format("Model display name: %s\n", model.getDisplayName());
            System.out.println("Model create time:");
            System.out.format("\tseconds: %s\n", model.getCreateTime().getSeconds());
            System.out.format("\tnanos: %s\n", model.getCreateTime().getNanos());
            System.out.format("Model deployment state: %s\n", model.getDeploymentState());
        }
    }
}
Also used : Model(com.google.cloud.automl.v1.Model) ListModelsRequest(com.google.cloud.automl.v1.ListModelsRequest) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient) LocationName(com.google.cloud.automl.v1.LocationName)

Aggregations

Test (org.junit.Test)34 LocationName (com.google.privacy.dlp.v2.LocationName)22 OrganizationLocationName (com.google.privacy.dlp.v2.OrganizationLocationName)22 AbstractMessage (com.google.protobuf.AbstractMessage)18 AutoMlClient (com.google.cloud.automl.v1.AutoMlClient)17 LocationName (com.google.cloud.automl.v1.LocationName)17 InvalidArgumentException (com.google.api.gax.rpc.InvalidArgumentException)16 StatusRuntimeException (io.grpc.StatusRuntimeException)14 LocationName (com.google.cloud.translate.v3.LocationName)13 TranslationServiceClient (com.google.cloud.translate.v3.TranslationServiceClient)13 OperationMetadata (com.google.cloud.automl.v1.OperationMetadata)12 AutoMlClient (com.google.cloud.automl.v1beta1.AutoMlClient)12 LocationName (com.google.cloud.automl.v1beta1.LocationName)12 LocationName (com.google.cloud.translate.v3beta1.LocationName)10 TranslationServiceClient (com.google.cloud.translate.v3beta1.TranslationServiceClient)10 Model (com.google.cloud.automl.v1.Model)8 LocationName (com.google.cloud.bigquery.connection.v1.LocationName)8 Dataset (com.google.cloud.automl.v1.Dataset)7 Dataset (com.google.cloud.automl.v1beta1.Dataset)6 CloudTasksClient (com.google.cloud.tasks.v2.CloudTasksClient)5