use of com.google.cloud.automl.v1.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]
}
}
use of com.google.cloud.automl.v1.AutoMlClient in project java-automl by googleapis.
the class DeleteDataset method deleteDataset.
// Delete a dataset
static void deleteDataset(String projectId, String datasetId) 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 dataset.
DatasetName datasetFullId = DatasetName.of(projectId, "us-central1", datasetId);
Empty response = client.deleteDatasetAsync(datasetFullId).get();
System.out.format("Dataset deleted. %s%n", response);
}
}
use of com.google.cloud.automl.v1.AutoMlClient in project java-automl by googleapis.
the class GetModel method getModel.
// Get a model
static void getModel(String projectId, String modelId) throws IOException, StatusRuntimeException {
// 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);
Model model = client.getModel(modelFullId);
// 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());
}
}
use of com.google.cloud.automl.v1.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_video_object_tracking_get_model_evaluation_beta]
System.out.format("Classification Model Evaluation Metrics: %s%n", modelEvaluation.getClassificationEvaluationMetrics());
// [END automl_video_classification_get_model_evaluation_beta]
// [START automl_video_object_tracking_get_model_evaluation_beta]
System.out.format("Video Object Tracking Evaluation Metrics: %s%n", modelEvaluation.getVideoObjectTrackingEvaluationMetrics());
// [START automl_video_classification_get_model_evaluation_beta]
}
}
use of com.google.cloud.automl.v1.AutoMlClient in project java-automl by googleapis.
the class GetOperationStatus method getOperationStatus.
// Get the status of an operation
static void getOperationStatus(String operationFullId) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// Get the latest state of a long-running operation.
Operation operation = client.getOperationsClient().getOperation(operationFullId);
// Display operation details.
System.out.println("Operation details:");
System.out.format("\tName: %s%n", operation.getName());
System.out.format("\tMetadata Type Url: %s%n", operation.getMetadata().getTypeUrl());
System.out.format("\tDone: %s%n", operation.getDone());
if (operation.hasResponse()) {
System.out.format("\tResponse Type Url: %s%n", operation.getResponse().getTypeUrl());
}
if (operation.hasError()) {
System.out.println("\tResponse:");
System.out.format("\t\tError code: %s%n", operation.getError().getCode());
System.out.format("\t\tError message: %s%n", operation.getError().getMessage());
}
}
}
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