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

Example 31 with ModelName

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

the class GetModelEvaluationTest method setUp.

@Before
public void setUp() throws IOException {
    // Get a model evaluation ID from the List request first to be used in the Get call
    try (AutoMlClient client = AutoMlClient.create()) {
        ModelName modelFullId = ModelName.of(PROJECT_ID, "us-central1", MODEL_ID);
        ListModelEvaluationsRequest modelEvaluationsrequest = ListModelEvaluationsRequest.newBuilder().setParent(modelFullId.toString()).build();
        ModelEvaluation modelEvaluation = client.listModelEvaluations(modelEvaluationsrequest).getPage().getValues().iterator().next();
        modelEvaluationId = modelEvaluation.getName().split("/modelEvaluations/")[1];
    }
    bout = new ByteArrayOutputStream();
    out = new PrintStream(bout);
    originalPrintStream = System.out;
    System.setOut(out);
}

Example 32 with ModelName

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

the class ListModelEvaluations method listModelEvaluations.

// List model evaluations
static void listModelEvaluations(String projectId, String modelId) throws IOException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (AutoMlClient client = AutoMlClient.create()) {
        // Get the full path of the model.
        ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);
        ListModelEvaluationsRequest modelEvaluationsrequest = ListModelEvaluationsRequest.newBuilder().setParent(modelFullId.toString()).build();
        // List all the model evaluations in the model by applying filter.
        System.out.println("List of model evaluations:");
        for (ModelEvaluation modelEvaluation : client.listModelEvaluations(modelEvaluationsrequest).iterateAll()) {
            System.out.format("Model Evaluation Name: %s\n", modelEvaluation.getName());
            System.out.format("Model Annotation Spec Id: %s", modelEvaluation.getAnnotationSpecId());
            System.out.println("Create Time:");
            System.out.format("\tseconds: %s\n", modelEvaluation.getCreateTime().getSeconds());
            System.out.format("\tnanos: %s", modelEvaluation.getCreateTime().getNanos() / 1e9);
            System.out.format("Evalution Example Count: %d\n", modelEvaluation.getEvaluatedExampleCount());
            // [END automl_language_sentiment_analysis_list_model_evaluations]
            // [END automl_language_text_classification_list_model_evaluations]
            // [END automl_translate_list_model_evaluations]
            // [END automl_vision_classification_list_model_evaluations]
            // [END automl_vision_object_detection_list_model_evaluations]
            System.out.format("Entity Extraction Model Evaluation Metrics: %s\n", modelEvaluation.getTextExtractionEvaluationMetrics());
            // [END automl_language_entity_extraction_list_model_evaluations]
            // [START automl_language_sentiment_analysis_list_model_evaluations]
            System.out.format("Sentiment Analysis Model Evaluation Metrics: %s\n", modelEvaluation.getTextSentimentEvaluationMetrics());
            // [END automl_language_sentiment_analysis_list_model_evaluations]
            // [START automl_language_text_classification_list_model_evaluations]
            // [START automl_vision_classification_list_model_evaluations]
            System.out.format("Classification Model Evaluation Metrics: %s\n", modelEvaluation.getClassificationEvaluationMetrics());
            // [END automl_language_text_classification_list_model_evaluations]
            // [END automl_vision_classification_list_model_evaluations]
            // [START automl_translate_list_model_evaluations]
            System.out.format("Translate Model Evaluation Metrics: %s\n", modelEvaluation.getTranslationEvaluationMetrics());
            // [END automl_translate_list_model_evaluations]
            // [START automl_vision_object_detection_list_model_evaluations]
            System.out.format("Object Detection Model Evaluation Metrics: %s\n", modelEvaluation.getImageObjectDetectionEvaluationMetrics());
        // [START automl_language_entity_extraction_list_model_evaluations]
        // [START automl_language_sentiment_analysis_list_model_evaluations]
        // [START automl_language_text_classification_list_model_evaluations]
        // [START automl_translate_list_model_evaluations]
        // [START automl_vision_classification_list_model_evaluations]
        }
    }
}

Example 33 with ModelName

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

the class TranslatePredict method predict.

static void predict(String projectId, String modelId, String filePath) throws IOException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (PredictionServiceClient client = PredictionServiceClient.create()) {
        // Get the full path of the model.
        ModelName name = ModelName.of(projectId, "us-central1", modelId);
        String content = new String(Files.readAllBytes(Paths.get(filePath)));
        TextSnippet textSnippet = TextSnippet.newBuilder().setContent(content).build();
        ExamplePayload payload = ExamplePayload.newBuilder().setTextSnippet(textSnippet).build();
        PredictRequest predictRequest = PredictRequest.newBuilder().setName(name.toString()).setPayload(payload).build();
        PredictResponse response = client.predict(predictRequest);
        TextSnippet translatedContent = response.getPayload(0).getTranslation().getTranslatedContent();
        System.out.format("Translated Content: %s\n", translatedContent.getContent());
    }
}

Example 34 with ModelName

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

the class UndeployModel method undeployModel.

// Undeploy a model from prediction
static void undeployModel(String projectId, String modelId) throws IOException, ExecutionException, InterruptedException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (AutoMlClient client = AutoMlClient.create()) {
        // Get the full path of the model.
        ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);
        UndeployModelRequest request = UndeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
        OperationFuture<Empty, OperationMetadata> future = client.undeployModelAsync(request);
        future.get();
        System.out.println("Model undeployment finished");
    }
}

Example 35 with ModelName

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

the class VisionClassificationDeployModelNodeCount method visionClassificationDeployModelNodeCount.

// Deploy a model for prediction with a specified node count (can be used to redeploy a model)
static void visionClassificationDeployModelNodeCount(String projectId, String modelId) throws IOException, ExecutionException, InterruptedException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (AutoMlClient client = AutoMlClient.create()) {
        // Get the full path of the model.
        ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);
        ImageClassificationModelDeploymentMetadata metadata = ImageClassificationModelDeploymentMetadata.newBuilder().setNodeCount(2).build();
        DeployModelRequest request = DeployModelRequest.newBuilder().setName(modelFullId.toString()).setImageClassificationModelDeploymentMetadata(metadata).build();
        OperationFuture<Empty, OperationMetadata> future = client.deployModelAsync(request);
        future.get();
        System.out.println("Model deployment finished");
    }
}