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

Example 6 with DatasetName

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

the class ImportDataTextClassificationSingleLabelSample method importDataTextClassificationSingleLabelSample.

static void importDataTextClassificationSingleLabelSample(String project, String datasetId, String gcsSourceUri) throws IOException, InterruptedException, ExecutionException, TimeoutException {
    DatasetServiceSettings datasetServiceSettings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings)) {
        String location = "us-central1";
        String importSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/ioformat/" + "text_classification_single_label_io_format_1.0.0.yaml";
        GcsSource.Builder gcsSource = GcsSource.newBuilder();
        gcsSource.addUris(gcsSourceUri);
        DatasetName datasetName = DatasetName.of(project, location, datasetId);
        List<ImportDataConfig> importDataConfigList = Collections.singletonList(ImportDataConfig.newBuilder().setGcsSource(gcsSource).setImportSchemaUri(importSchemaUri).build());
        OperationFuture<ImportDataResponse, ImportDataOperationMetadata> importDataResponseFuture = datasetServiceClient.importDataAsync(datasetName, importDataConfigList);
        System.out.format("Operation name: %s\n", importDataResponseFuture.getInitialFuture().get().getName());
        System.out.println("Waiting for operation to finish...");
        ImportDataResponse importDataResponse = importDataResponseFuture.get(300, TimeUnit.SECONDS);
        System.out.format("Import Data Text Classification Response: %s\n", importDataResponse.toString());
    }
}

Example 7 with DatasetName

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

the class ImportDataTextSentimentAnalysisSample method importDataTextSentimentAnalysisSample.

static void importDataTextSentimentAnalysisSample(String project, String datasetId, String gcsSourceUri) throws IOException, InterruptedException, ExecutionException, TimeoutException {
    DatasetServiceSettings datasetServiceSettings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings)) {
        String location = "us-central1";
        String importSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/ioformat/" + "text_sentiment_io_format_1.0.0.yaml";
        GcsSource.Builder gcsSource = GcsSource.newBuilder();
        gcsSource.addUris(gcsSourceUri);
        DatasetName datasetName = DatasetName.of(project, location, datasetId);
        List<ImportDataConfig> importDataConfigList = Collections.singletonList(ImportDataConfig.newBuilder().setGcsSource(gcsSource).setImportSchemaUri(importSchemaUri).build());
        OperationFuture<ImportDataResponse, ImportDataOperationMetadata> importDataResponseFuture = datasetServiceClient.importDataAsync(datasetName, importDataConfigList);
        System.out.format("Operation name: %s\n", importDataResponseFuture.getInitialFuture().get().getName());
        System.out.println("Waiting for operation to finish...");
        ImportDataResponse importDataResponse = importDataResponseFuture.get(300, TimeUnit.SECONDS);
        System.out.format("Import Data Text Sentiment Analysis Response: %s\n", importDataResponse.toString());
    }
}

Example 8 with DatasetName

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

the class ImportDataVideoClassificationSample method importDataVideoClassification.

static void importDataVideoClassification(String gcsSourceUri, String project, String datasetId) throws IOException, ExecutionException, InterruptedException, TimeoutException {
    DatasetServiceSettings datasetServiceSettings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings)) {
        String location = "us-central1";
        String importSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/ioformat/" + "video_classification_io_format_1.0.0.yaml";
        GcsSource.Builder gcsSource = GcsSource.newBuilder();
        gcsSource.addUris(gcsSourceUri);
        DatasetName datasetName = DatasetName.of(project, location, datasetId);
        List<ImportDataConfig> importDataConfigs = Collections.singletonList(ImportDataConfig.newBuilder().setGcsSource(gcsSource).setImportSchemaUri(importSchemaUri).build());
        OperationFuture<ImportDataResponse, ImportDataOperationMetadata> importDataResponseFuture = datasetServiceClient.importDataAsync(datasetName, importDataConfigs);
        System.out.format("Operation name: %s\n", importDataResponseFuture.getInitialFuture().get().getName());
        System.out.println("Waiting for operation to finish...");
        ImportDataResponse importDataResponse = importDataResponseFuture.get(1800, TimeUnit.SECONDS);
        System.out.format("Import Data Video Classification Response: %s\n", importDataResponse.toString());
    }
}

Example 9 with DatasetName

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

the class CreateDataLabelingJobActiveLearningSample method createDataLabelingJobActiveLearningSample.

static void createDataLabelingJobActiveLearningSample(String project, String displayName, String dataset, String instructionUri, String inputsSchemaUri, String annotationSpec) throws IOException {
    JobServiceSettings settings = JobServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    String location = "us-central1";
    // the "close" method on the client to safely clean up any remaining background resources.
    try (JobServiceClient client = JobServiceClient.create(settings)) {
        JsonArray jsonAnnotationSpecs = new JsonArray();
        jsonAnnotationSpecs.add(annotationSpec);
        JsonObject jsonInputs = new JsonObject();
        jsonInputs.add("annotation_specs", jsonAnnotationSpecs);
        Value.Builder inputsBuilder = Value.newBuilder();
        JsonFormat.parser().merge(jsonInputs.toString(), inputsBuilder);
        Value inputs = inputsBuilder.build();
        ActiveLearningConfig activeLearningConfig = ActiveLearningConfig.newBuilder().setMaxDataItemCount(1).build();
        String datasetName = DatasetName.of(project, location, dataset).toString();
        DataLabelingJob dataLabelingJob = DataLabelingJob.newBuilder().setDisplayName(displayName).addDatasets(datasetName).setLabelerCount(1).setInstructionUri(instructionUri).setInputsSchemaUri(inputsSchemaUri).setInputs(inputs).putAnnotationLabels("aiplatform.googleapis.com/annotation_set_name", "data_labeling_job_active_learning").setActiveLearningConfig(activeLearningConfig).build();
        LocationName parent = LocationName.of(project, location);
        DataLabelingJob response = client.createDataLabelingJob(parent, dataLabelingJob);
        System.out.format("response: %s\n", response);
        System.out.format("Name: %s\n", response.getName());
    }
}

Example 10 with DatasetName

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

the class CreateDataLabelingJobImageSample method createDataLabelingJobImage.

static void createDataLabelingJobImage(String project, String displayName, String datasetId, String instructionUri, String annotationSpec) throws IOException {
    JobServiceSettings jobServiceSettings = JobServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    // the "close" method on the client to safely clean up any remaining background resources.
    try (JobServiceClient jobServiceClient = JobServiceClient.create(jobServiceSettings)) {
        String location = "us-central1";
        LocationName locationName = LocationName.of(project, location);
        String jsonString = "{\"annotation_specs\": [ " + annotationSpec + "]}";
        Value.Builder annotationSpecValue = Value.newBuilder();
        JsonFormat.parser().merge(jsonString, annotationSpecValue);
        DatasetName datasetName = DatasetName.of(project, location, datasetId);
        DataLabelingJob dataLabelingJob = DataLabelingJob.newBuilder().setDisplayName(displayName).setLabelerCount(1).setInstructionUri(instructionUri).setInputsSchemaUri("gs://google-cloud-aiplatform/schema/datalabelingjob/inputs/" + "image_classification.yaml").addDatasets(datasetName.toString()).setInputs(annotationSpecValue).putAnnotationLabels("aiplatform.googleapis.com/annotation_set_name", "my_test_saved_query").build();
        DataLabelingJob dataLabelingJobResponse = jobServiceClient.createDataLabelingJob(locationName, dataLabelingJob);
        System.out.println("Create Data Labeling Job Image Response");
        System.out.format("\tName: %s\n", dataLabelingJobResponse.getName());
        System.out.format("\tDisplay Name: %s\n", dataLabelingJobResponse.getDisplayName());
        System.out.format("\tDatasets: %s\n", dataLabelingJobResponse.getDatasetsList());
        System.out.format("\tLabeler Count: %s\n", dataLabelingJobResponse.getLabelerCount());
        System.out.format("\tInstruction Uri: %s\n", dataLabelingJobResponse.getInstructionUri());
        System.out.format("\tInputs Schema Uri: %s\n", dataLabelingJobResponse.getInputsSchemaUri());
        System.out.format("\tInputs: %s\n", dataLabelingJobResponse.getInputs());
        System.out.format("\tState: %s\n", dataLabelingJobResponse.getState());
        System.out.format("\tLabeling Progress: %s\n", dataLabelingJobResponse.getLabelingProgress());
        System.out.format("\tCreate Time: %s\n", dataLabelingJobResponse.getCreateTime());
        System.out.format("\tUpdate Time: %s\n", dataLabelingJobResponse.getUpdateTime());
        System.out.format("\tLabels: %s\n", dataLabelingJobResponse.getLabelsMap());
        System.out.format("\tSpecialist Pools: %s\n", dataLabelingJobResponse.getSpecialistPoolsList());
        for (Map.Entry<String, String> annotationLabelMap : dataLabelingJobResponse.getAnnotationLabelsMap().entrySet()) {
            System.out.println("\tAnnotation Level");
            System.out.format("\t\tkey: %s\n", annotationLabelMap.getKey());
            System.out.format("\t\tvalue: %s\n", annotationLabelMap.getValue());
        }
        Money money = dataLabelingJobResponse.getCurrentSpend();
        System.out.println("\tCurrent Spend");
        System.out.format("\t\tCurrency Code: %s\n", money.getCurrencyCode());
        System.out.format("\t\tUnits: %s\n", money.getUnits());
        System.out.format("\t\tNanos: %s\n", money.getNanos());
    }
}