Examples with ModelName com.google.cloud.aiplatform.v1.ModelName used on opensource projects

Example 11 with ModelName

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

the class TablesBatchPredictBigQuery method batchPredict.

static void batchPredict(String projectId, String modelId, String inputUri, String outputUri) throws IOException, ExecutionException, InterruptedException {
    // 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);
        // Configure the source of the file from BigQuery
        BigQuerySource bigQuerySource = BigQuerySource.newBuilder().setInputUri(inputUri).build();
        BatchPredictInputConfig inputConfig = BatchPredictInputConfig.newBuilder().setBigquerySource(bigQuerySource).build();
        // Configure where to store the output in BigQuery
        BigQueryDestination bigQueryDestination = BigQueryDestination.newBuilder().setOutputUri(outputUri).build();
        BatchPredictOutputConfig outputConfig = BatchPredictOutputConfig.newBuilder().setBigqueryDestination(bigQueryDestination).build();
        // Build the request that will be sent to the API
        BatchPredictRequest request = BatchPredictRequest.newBuilder().setName(name.toString()).setInputConfig(inputConfig).setOutputConfig(outputConfig).build();
        // Start an asynchronous request
        OperationFuture<BatchPredictResult, OperationMetadata> future = client.batchPredictAsync(request);
        System.out.println("Waiting for operation to complete...");
        BatchPredictResult response = future.get();
        System.out.println("Batch Prediction results saved to BigQuery.");
    }
}

Example 12 with ModelName

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

the class TablesGetModel method getModel.

// Demonstrates using the AutoML client to get model details.
public static void getModel(String projectId, String computeRegion, 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, computeRegion, modelId);
        // Get complete detail of the model.
        Model model = client.getModel(modelFullId);
        // Display the model information.
        System.out.format("Model name: %s%n", model.getName());
        System.out.format("Model Id: %s\n", model.getName().split("/")[model.getName().split("/").length - 1]);
        System.out.format("Model display name: %s%n", model.getDisplayName());
        System.out.format("Dataset Id: %s%n", model.getDatasetId());
        System.out.println("Tables Model Metadata: ");
        System.out.format("\tTraining budget: %s%n", model.getTablesModelMetadata().getTrainBudgetMilliNodeHours());
        System.out.format("\tTraining cost: %s%n", model.getTablesModelMetadata().getTrainBudgetMilliNodeHours());
        DateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss.SSSZ");
        String createTime = dateFormat.format(new java.util.Date(model.getCreateTime().getSeconds() * 1000));
        System.out.format("Model create time: %s%n", createTime);
        System.out.format("Model deployment state: %s%n", model.getDeploymentState());
        // Get features of top importance
        for (TablesModelColumnInfo info : model.getTablesModelMetadata().getTablesModelColumnInfoList()) {
            System.out.format("Column: %s - Importance: %.2f%n", info.getColumnDisplayName(), info.getFeatureImportance());
        }
    }
}

Example 13 with ModelName

use of com.google.cloud.aiplatform.v1.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 14 with ModelName

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

the class LanguageEntityExtractionPredict 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("Text Extract Entity Type: %s\n", annotationPayload.getDisplayName());
            System.out.format("Text score: %.2f\n", annotationPayload.getTextExtraction().getScore());
            TextSegment textSegment = annotationPayload.getTextExtraction().getTextSegment();
            System.out.format("Text Extract Entity Content: %s\n", textSegment.getContent());
            System.out.format("Text Start Offset: %s\n", textSegment.getStartOffset());
            System.out.format("Text End Offset: %s\n\n", textSegment.getEndOffset());
        }
    }
}

Example 15 with ModelName

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

the class LanguageSentimentAnalysisPredict 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: %d\n", annotationPayload.getTextSentiment().getSentiment());
        }
    }
}