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Example 41 with AutoMlClient

use of com.google.cloud.automl.v1.AutoMlClient in project java-automl by googleapis.

the class DeleteDatasetTest method setUp.

@Before
public void setUp() throws IOException {
    // Create a fake dataset to be deleted
    // Create a random dataset name with a length of 32 characters (max allowed by AutoML)
    // To prevent name collisions when running tests in multiple java versions at once.
    // AutoML doesn't allow "-", but accepts "_"
    String datasetName = String.format("test_%s", UUID.randomUUID().toString().replace("-", "_").substring(0, 26));
    try (AutoMlClient client = AutoMlClient.create()) {
        LocationName projectLocation = LocationName.of(PROJECT_ID, "us-central1");
        TextExtractionDatasetMetadata metadata = TextExtractionDatasetMetadata.newBuilder().build();
        Dataset dataset = Dataset.newBuilder().setDisplayName(datasetName).setTextExtractionDatasetMetadata(metadata).build();
        Dataset createdDataset = client.createDataset(projectLocation, dataset);
        String[] names = createdDataset.getName().split("/");
        datasetId = names[names.length - 1];
    }
    bout = new ByteArrayOutputStream();
    out = new PrintStream(bout);
    originalPrintStream = System.out;
    System.setOut(out);
}
Also used : PrintStream(java.io.PrintStream) Dataset(com.google.cloud.automl.v1beta1.Dataset) TextExtractionDatasetMetadata(com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) ByteArrayOutputStream(java.io.ByteArrayOutputStream) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient) LocationName(com.google.cloud.automl.v1beta1.LocationName) Before(org.junit.Before)

Example 42 with AutoMlClient

use of com.google.cloud.automl.v1.AutoMlClient 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);
}
Also used : PrintStream(java.io.PrintStream) ModelEvaluation(com.google.cloud.automl.v1.ModelEvaluation) ModelName(com.google.cloud.automl.v1.ModelName) ByteArrayOutputStream(java.io.ByteArrayOutputStream) ListModelEvaluationsRequest(com.google.cloud.automl.v1.ListModelEvaluationsRequest) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient) Before(org.junit.Before)

Example 43 with AutoMlClient

use of com.google.cloud.automl.v1.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());
            // [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]
        }
    }
}
Also used : ModelEvaluation(com.google.cloud.automl.v1.ModelEvaluation) ModelName(com.google.cloud.automl.v1.ModelName) ListModelEvaluationsRequest(com.google.cloud.automl.v1.ListModelEvaluationsRequest) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient)

Example 44 with AutoMlClient

use of com.google.cloud.automl.v1.AutoMlClient 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());
        }
    }
}
Also used : Model(com.google.cloud.automl.v1.Model) ListModelsRequest(com.google.cloud.automl.v1.ListModelsRequest) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient) LocationName(com.google.cloud.automl.v1.LocationName)

Example 45 with AutoMlClient

use of com.google.cloud.automl.v1.AutoMlClient in project java-automl by googleapis.

the class ListOperationStatus method listOperationStatus.

// Get the status of an operation
static void listOperationStatus(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 operations request.
        ListOperationsRequest listrequest = ListOperationsRequest.newBuilder().setName(projectLocation.toString()).build();
        // List all the operations names available in the region by applying filter.
        for (Operation operation : client.getOperationsClient().listOperations(listrequest).iterateAll()) {
            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\n", operation.getError().getMessage());
            }
        }
    }
}
Also used : ListOperationsRequest(com.google.longrunning.ListOperationsRequest) Operation(com.google.longrunning.Operation) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient) LocationName(com.google.cloud.automl.v1.LocationName)

Aggregations

AutoMlClient (com.google.cloud.automl.v1.AutoMlClient)41 AutoMlClient (com.google.cloud.automl.v1beta1.AutoMlClient)31 Empty (com.google.protobuf.Empty)20 OperationMetadata (com.google.cloud.automl.v1.OperationMetadata)18 LocationName (com.google.cloud.automl.v1.LocationName)17 Model (com.google.cloud.automl.v1.Model)16 ModelName (com.google.cloud.automl.v1.ModelName)16 LocationName (com.google.cloud.automl.v1beta1.LocationName)12 ByteArrayOutputStream (java.io.ByteArrayOutputStream)12 PrintStream (java.io.PrintStream)12 Before (org.junit.Before)12 ModelName (com.google.cloud.automl.v1beta1.ModelName)11 OperationMetadata (com.google.cloud.automl.v1beta1.OperationMetadata)11 DeployModelRequest (com.google.cloud.automl.v1.DeployModelRequest)10 Dataset (com.google.cloud.automl.v1.Dataset)8 Model (com.google.cloud.automl.v1beta1.Model)8 Dataset (com.google.cloud.automl.v1beta1.Dataset)6 Operation (com.google.longrunning.Operation)6 DatasetName (com.google.cloud.automl.v1.DatasetName)5 DatasetName (com.google.cloud.automl.v1beta1.DatasetName)5