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

Example 46 with AutoMlClient

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

Example 47 with AutoMlClient

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

the class GetDataset method getDataset.

// Get a dataset
static void getDataset(String projectId, String datasetId) throws IOException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (AutoMlClient client = AutoMlClient.create()) {
        // Get the complete path of the dataset.
        DatasetName datasetFullId = DatasetName.of(projectId, "us-central1", datasetId);
        Dataset dataset = client.getDataset(datasetFullId);
        // Display the dataset information
        System.out.format("Dataset name: %s\n", dataset.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 = dataset.getName().split("/");
        String retrievedDatasetId = names[names.length - 1];
        System.out.format("Dataset id: %s\n", retrievedDatasetId);
        System.out.format("Dataset display name: %s\n", dataset.getDisplayName());
        System.out.println("Dataset create time:");
        System.out.format("\tseconds: %s\n", dataset.getCreateTime().getSeconds());
        System.out.format("\tnanos: %s\n", dataset.getCreateTime().getNanos());
        // [END automl_language_sentiment_analysis_get_dataset]
        // [END automl_language_text_classification_get_dataset]
        // [END automl_translate_get_dataset]
        // [END automl_vision_classification_get_dataset]
        // [END automl_vision_object_detection_get_dataset]
        System.out.format("Text extraction dataset metadata: %s\n", dataset.getTextExtractionDatasetMetadata());
        // [END automl_language_entity_extraction_get_dataset]
        // [START automl_language_sentiment_analysis_get_dataset]
        System.out.format("Text sentiment dataset metadata: %s\n", dataset.getTextSentimentDatasetMetadata());
        // [END automl_language_sentiment_analysis_get_dataset]
        // [START automl_language_text_classification_get_dataset]
        System.out.format("Text classification dataset metadata: %s\n", dataset.getTextClassificationDatasetMetadata());
        // [END automl_language_text_classification_get_dataset]
        // [START automl_translate_get_dataset]
        System.out.println("Translation dataset metadata:");
        System.out.format("\tSource language code: %s\n", dataset.getTranslationDatasetMetadata().getSourceLanguageCode());
        System.out.format("\tTarget language code: %s\n", dataset.getTranslationDatasetMetadata().getTargetLanguageCode());
        // [END automl_translate_get_dataset]
        // [START automl_vision_classification_get_dataset]
        System.out.format("Image classification dataset metadata: %s\n", dataset.getImageClassificationDatasetMetadata());
        // [END automl_vision_classification_get_dataset]
        // [START automl_vision_object_detection_get_dataset]
        System.out.format("Image object detection dataset metadata: %s\n", dataset.getImageObjectDetectionDatasetMetadata());
    // [START automl_language_entity_extraction_get_dataset]
    // [START automl_language_sentiment_analysis_get_dataset]
    // [START automl_language_text_classification_get_dataset]
    // [START automl_translate_get_dataset]
    // [START automl_vision_classification_get_dataset]
    }
}

Example 48 with AutoMlClient

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

the class GetModelEvaluation method getModelEvaluation.

// Get a model evaluation
static void getModelEvaluation(String projectId, String modelId, String modelEvaluationId) 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 evaluation.
        ModelEvaluationName modelEvaluationFullId = ModelEvaluationName.of(projectId, "us-central1", modelId, modelEvaluationId);
        // Get complete detail of the model evaluation.
        ModelEvaluation modelEvaluation = client.getModelEvaluation(modelEvaluationFullId);
        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_get_model_evaluation]
        // [END automl_language_text_classification_get_model_evaluation]
        // [END automl_translate_get_model_evaluation]
        // [END automl_vision_classification_get_model_evaluation]
        // [END automl_vision_object_detection_get_model_evaluation]
        System.out.format("Entity Extraction Model Evaluation Metrics: %s\n", modelEvaluation.getTextExtractionEvaluationMetrics());
        // [END automl_language_entity_extraction_get_model_evaluation]
        // [START automl_language_sentiment_analysis_get_model_evaluation]
        System.out.format("Sentiment Analysis Model Evaluation Metrics: %s\n", modelEvaluation.getTextSentimentEvaluationMetrics());
        // [END automl_language_sentiment_analysis_get_model_evaluation]
        // [START automl_language_text_classification_get_model_evaluation]
        // [START automl_vision_classification_get_model_evaluation]
        System.out.format("Classification Model Evaluation Metrics: %s\n", modelEvaluation.getClassificationEvaluationMetrics());
        // [END automl_language_text_classification_get_model_evaluation]
        // [END automl_vision_classification_get_model_evaluation]
        // [START automl_translate_get_model_evaluation]
        System.out.format("Translate Model Evaluation Metrics: %s\n", modelEvaluation.getTranslationEvaluationMetrics());
        // [END automl_translate_get_model_evaluation]
        // [START automl_vision_object_detection_get_model_evaluation]
        System.out.format("Object Detection Model Evaluation Metrics: %s\n", modelEvaluation.getImageObjectDetectionEvaluationMetrics());
    // [START automl_language_entity_extraction_get_model_evaluation]
    // [START automl_language_sentiment_analysis_get_model_evaluation]
    // [START automl_language_text_classification_get_model_evaluation]
    // [START automl_translate_get_model_evaluation]
    // [START automl_vision_classification_get_model_evaluation]
    }
}

Example 49 with AutoMlClient

use of com.google.cloud.automl.v1beta1.AutoMlClient 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());
            System.out.format("Tables Model Evaluation Metrics: %s%n", modelEvaluation.getClassificationEvaluationMetrics());
        }
    }
}

Example 50 with AutoMlClient

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