use of com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata in project java-automl by googleapis.
the class ModelApi method createModel.
// [START automl_vision_create_model]
/**
* Demonstrates using the AutoML client to create a model.
*
* @param projectId the Id of the project.
* @param computeRegion the Region name.
* @param dataSetId the Id of the dataset to which model is created.
* @param modelName the Name of the model.
* @param trainBudget the Budget for training the model.
*/
static void createModel(String projectId, String computeRegion, String dataSetId, String modelName, String trainBudget) {
// Instantiates a client
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, computeRegion);
// Set model metadata.
ImageClassificationModelMetadata imageClassificationModelMetadata = Long.valueOf(trainBudget) == 0 ? ImageClassificationModelMetadata.newBuilder().build() : ImageClassificationModelMetadata.newBuilder().setTrainBudget(Long.valueOf(trainBudget)).build();
// Set model name and model metadata for the image dataset.
Model myModel = Model.newBuilder().setDisplayName(modelName).setDatasetId(dataSetId).setImageClassificationModelMetadata(imageClassificationModelMetadata).build();
// Create a model with the model metadata in the region.
OperationFuture<Model, OperationMetadata> response = client.createModelAsync(projectLocation, myModel);
System.out.println(String.format("Training operation name: %s", response.getInitialFuture().get().getName()));
System.out.println("Training started...");
} catch (IOException | ExecutionException | InterruptedException e) {
e.printStackTrace();
}
}
use of com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata 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...");
}
}
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