use of com.google.cloud.automl.v1.ModelName in project java-automl by googleapis.
the class VisionObjectDetectionPredictTest method setUp.
@Before
public void setUp() throws IOException, ExecutionException, InterruptedException {
// Verify that the model is deployed for prediction
try (AutoMlClient client = AutoMlClient.create()) {
ModelName modelFullId = ModelName.of(PROJECT_ID, "us-central1", MODEL_ID);
Model model = client.getModel(modelFullId);
if (model.getDeploymentState() == Model.DeploymentState.UNDEPLOYED) {
// Deploy the model if not deployed
DeployModelRequest request = DeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
client.deployModelAsync(request).get();
}
}
bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
originalPrintStream = System.out;
System.setOut(out);
}
use of com.google.cloud.automl.v1.ModelName in project java-automl by googleapis.
the class LanguageSentimentAnalysisPredictTest method setUp.
@Before
public void setUp() throws IOException, ExecutionException, InterruptedException {
// Verify that the model is deployed for prediction
try (AutoMlClient client = AutoMlClient.create()) {
ModelName modelFullId = ModelName.of(PROJECT_ID, "us-central1", MODEL_ID);
Model model = client.getModel(modelFullId);
if (model.getDeploymentState() == Model.DeploymentState.UNDEPLOYED) {
// Deploy the model if not deployed
DeployModelRequest request = DeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
client.deployModelAsync(request).get();
}
}
bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
originalPrintStream = System.out;
System.setOut(out);
}
use of com.google.cloud.automl.v1.ModelName in project java-automl by googleapis.
the class TablesPredictTest method setUp.
@Before
public void setUp() throws IOException, ExecutionException, InterruptedException {
// Verify that the model is deployed for prediction
try (AutoMlClient client = AutoMlClient.create()) {
ModelName modelFullId = ModelName.of(PROJECT_ID, "us-central1", MODEL_ID);
Model model = client.getModel(modelFullId);
if (model.getDeploymentState() == Model.DeploymentState.UNDEPLOYED) {
// Deploy the model if not deployed
DeployModelRequest request = DeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
client.deployModelAsync(request).get();
}
}
bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
originalPrintStream = System.out;
System.setOut(out);
}
use of com.google.cloud.automl.v1.ModelName in project java-automl by googleapis.
the class LanguageTextClassificationPredict method predict.
static void predict(String projectId, String modelId, String content) 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);
// For available mime types, see:
// https://cloud.google.com/automl/docs/reference/rest/v1/projects.locations.models/predict#textsnippet
TextSnippet textSnippet = TextSnippet.newBuilder().setContent(content).setMimeType(// Types: text/plain, text/html
"text/plain").build();
ExamplePayload payload = ExamplePayload.newBuilder().setTextSnippet(textSnippet).build();
PredictRequest predictRequest = PredictRequest.newBuilder().setName(name.toString()).setPayload(payload).build();
PredictResponse response = client.predict(predictRequest);
for (AnnotationPayload annotationPayload : response.getPayloadList()) {
System.out.format("Predicted class name: %s\n", annotationPayload.getDisplayName());
System.out.format("Predicted sentiment score: %.2f\n\n", annotationPayload.getClassification().getScore());
}
}
}
use of com.google.cloud.automl.v1.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]
}
}
}
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