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...");
}
}
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...");
}
}
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();
}
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);
}
}
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());
}
}
}
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