Examples with Model com.google.cloud.automl.v1beta1.Model used on opensource projects

Example 96 with Model

use of com.google.cloud.automl.v1beta1.Model 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());
        }
    }
}

Example 97 with Model

use of com.google.cloud.automl.v1beta1.Model 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...");
    }
}

Example 98 with Model

use of com.google.cloud.automl.v1beta1.Model 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...");
    }
}

Example 99 with Model

use of com.google.cloud.automl.v1beta1.Model in project java-automl by googleapis.

the class AutoMlClientTest method listModelsTest2.

@Test
public void listModelsTest2() throws Exception {
    Model responsesElement = Model.newBuilder().build();
    ListModelsResponse expectedResponse = ListModelsResponse.newBuilder().setNextPageToken("").addAllModel(Arrays.asList(responsesElement)).build();
    mockAutoMl.addResponse(expectedResponse);
    String parent = "parent-995424086";
    ListModelsPagedResponse pagedListResponse = client.listModels(parent);
    List<Model> resources = Lists.newArrayList(pagedListResponse.iterateAll());
    Assert.assertEquals(1, resources.size());
    Assert.assertEquals(expectedResponse.getModelList().get(0), resources.get(0));
    List<AbstractMessage> actualRequests = mockAutoMl.getRequests();
    Assert.assertEquals(1, actualRequests.size());
    ListModelsRequest actualRequest = ((ListModelsRequest) actualRequests.get(0));
    Assert.assertEquals(parent, actualRequest.getParent());
    Assert.assertTrue(channelProvider.isHeaderSent(ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
}

Example 100 with Model

use of com.google.cloud.automl.v1beta1.Model in project java-automl by googleapis.

the class AutoMlClientTest method listModelEvaluationsTest.

@Test
public void listModelEvaluationsTest() throws Exception {
    ModelEvaluation responsesElement = ModelEvaluation.newBuilder().build();
    ListModelEvaluationsResponse expectedResponse = ListModelEvaluationsResponse.newBuilder().setNextPageToken("").addAllModelEvaluation(Arrays.asList(responsesElement)).build();
    mockAutoMl.addResponse(expectedResponse);
    ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
    ListModelEvaluationsPagedResponse pagedListResponse = client.listModelEvaluations(parent);
    List<ModelEvaluation> resources = Lists.newArrayList(pagedListResponse.iterateAll());
    Assert.assertEquals(1, resources.size());
    Assert.assertEquals(expectedResponse.getModelEvaluationList().get(0), resources.get(0));
    List<AbstractMessage> actualRequests = mockAutoMl.getRequests();
    Assert.assertEquals(1, actualRequests.size());
    ListModelEvaluationsRequest actualRequest = ((ListModelEvaluationsRequest) actualRequests.get(0));
    Assert.assertEquals(parent.toString(), actualRequest.getParent());
    Assert.assertTrue(channelProvider.isHeaderSent(ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
}