Search in sources :

Example 61 with LocationName

use of com.google.logging.v2.LocationName in project java-automl by googleapis.

the class LanguageSentimentAnalysisCreateModel 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.
        System.out.println(datasetId);
        TextSentimentModelMetadata metadata = TextSentimentModelMetadata.newBuilder().build();
        Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setTextSentimentModelMetadata(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 : TextSentimentModelMetadata(com.google.cloud.automl.v1.TextSentimentModelMetadata) 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 62 with LocationName

use of com.google.logging.v2.LocationName in project java-automl by googleapis.

the class DeleteDatasetTest method setUp.

@Before
public void setUp() throws IOException {
    // Create a fake dataset to be deleted
    // Create a random dataset name with a length of 32 characters (max allowed by AutoML)
    // To prevent name collisions when running tests in multiple java versions at once.
    // AutoML doesn't allow "-", but accepts "_"
    String datasetName = String.format("test_%s", UUID.randomUUID().toString().replace("-", "_").substring(0, 26));
    try (AutoMlClient client = AutoMlClient.create()) {
        LocationName projectLocation = LocationName.of(PROJECT_ID, "us-central1");
        TextExtractionDatasetMetadata metadata = TextExtractionDatasetMetadata.newBuilder().build();
        Dataset dataset = Dataset.newBuilder().setDisplayName(datasetName).setTextExtractionDatasetMetadata(metadata).build();
        Dataset createdDataset = client.createDataset(projectLocation, dataset);
        String[] names = createdDataset.getName().split("/");
        datasetId = names[names.length - 1];
    }
    bout = new ByteArrayOutputStream();
    out = new PrintStream(bout);
    originalPrintStream = System.out;
    System.setOut(out);
}
Also used : PrintStream(java.io.PrintStream) Dataset(com.google.cloud.automl.v1beta1.Dataset) TextExtractionDatasetMetadata(com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) ByteArrayOutputStream(java.io.ByteArrayOutputStream) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient) LocationName(com.google.cloud.automl.v1beta1.LocationName) Before(org.junit.Before)

Example 63 with LocationName

use of com.google.logging.v2.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.v1beta1.Model) ListModelsRequest(com.google.cloud.automl.v1beta1.ListModelsRequest) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient) LocationName(com.google.cloud.automl.v1beta1.LocationName)

Example 64 with LocationName

use of com.google.logging.v2.LocationName in project java-automl by googleapis.

the class TablesCreateModel method createModel.

// Create a model
static void createModel(String projectId, String datasetId, String tableSpecId, String columnSpecId, 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");
        // Get the complete path of the column.
        ColumnSpecName columnSpecName = ColumnSpecName.of(projectId, "us-central1", datasetId, tableSpecId, columnSpecId);
        // Build the get column spec.
        ColumnSpec targetColumnSpec = ColumnSpec.newBuilder().setName(columnSpecName.toString()).build();
        // Set model metadata.
        TablesModelMetadata metadata = TablesModelMetadata.newBuilder().setTargetColumnSpec(targetColumnSpec).setTrainBudgetMilliNodeHours(24000).build();
        Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setTablesModelMetadata(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 : ColumnSpecName(com.google.cloud.automl.v1beta1.ColumnSpecName) ColumnSpec(com.google.cloud.automl.v1beta1.ColumnSpec) TablesModelMetadata(com.google.cloud.automl.v1beta1.TablesModelMetadata) Model(com.google.cloud.automl.v1beta1.Model) OperationMetadata(com.google.cloud.automl.v1beta1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient) LocationName(com.google.cloud.automl.v1beta1.LocationName)

Example 65 with LocationName

use of com.google.logging.v2.LocationName in project java-automl by googleapis.

the class VideoClassificationCreateModel 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.
        VideoClassificationModelMetadata metadata = VideoClassificationModelMetadata.newBuilder().build();
        Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setVideoClassificationModelMetadata(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 : VideoClassificationModelMetadata(com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) Model(com.google.cloud.automl.v1beta1.Model) OperationMetadata(com.google.cloud.automl.v1beta1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient) LocationName(com.google.cloud.automl.v1beta1.LocationName)

Aggregations

Test (org.junit.Test)28 LocationName (com.google.privacy.dlp.v2.LocationName)22 OrganizationLocationName (com.google.privacy.dlp.v2.OrganizationLocationName)22 AutoMlClient (com.google.cloud.automl.v1.AutoMlClient)17 LocationName (com.google.cloud.automl.v1.LocationName)17 AbstractMessage (com.google.protobuf.AbstractMessage)14 InvalidArgumentException (com.google.api.gax.rpc.InvalidArgumentException)13 LocationName (com.google.cloud.translate.v3.LocationName)13 TranslationServiceClient (com.google.cloud.translate.v3.TranslationServiceClient)13 StatusRuntimeException (io.grpc.StatusRuntimeException)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 Dataset (com.google.cloud.automl.v1.Dataset)7 Dataset (com.google.cloud.automl.v1beta1.Dataset)6 GcsSource (com.google.cloud.translate.v3.GcsSource)5 ArrayList (java.util.ArrayList)5