use of com.google.cloud.aiplatform.v1beta1.JobServiceClient 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());
}
}
use of com.google.cloud.aiplatform.v1beta1.JobServiceClient 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());
}
}
use of com.google.cloud.aiplatform.v1beta1.JobServiceClient in project java-aiplatform by googleapis.
the class CreateDataLabelingJobSample method createDataLabelingJob.
static void createDataLabelingJob(String project, String displayName, String datasetId, String instructionUri, String inputsSchemaUri, 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(inputsSchemaUri).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 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());
}
}
use of com.google.cloud.aiplatform.v1beta1.JobServiceClient in project java-docs-samples by GoogleCloudPlatform.
the class CustomRankingSearchJobs method searchCustomRankingJobs.
// Search Jobs using custom rankings.
public static void searchCustomRankingJobs(String projectId, String tenantId) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
TenantName parent = TenantName.of(projectId, tenantId);
String domain = "www.example.com";
String sessionId = "Hashed session identifier";
String userId = "Hashed user identifier";
RequestMetadata requestMetadata = RequestMetadata.newBuilder().setDomain(domain).setSessionId(sessionId).setUserId(userId).build();
SearchJobsRequest.CustomRankingInfo.ImportanceLevel importanceLevel = SearchJobsRequest.CustomRankingInfo.ImportanceLevel.EXTREME;
String rankingExpression = "(someFieldLong + 25) * 0.25";
SearchJobsRequest.CustomRankingInfo customRankingInfo = SearchJobsRequest.CustomRankingInfo.newBuilder().setImportanceLevel(importanceLevel).setRankingExpression(rankingExpression).build();
String orderBy = "custom_ranking desc";
SearchJobsRequest request = SearchJobsRequest.newBuilder().setParent(parent.toString()).setRequestMetadata(requestMetadata).setCustomRankingInfo(customRankingInfo).setOrderBy(orderBy).build();
for (SearchJobsResponse.MatchingJob responseItem : jobServiceClient.searchJobs(request).iterateAll()) {
System.out.format("Job summary: %s%n", responseItem.getJobSummary());
System.out.format("Job title snippet: %s%n", responseItem.getJobTitleSnippet());
Job job = responseItem.getJob();
System.out.format("Job name: %s%n", job.getName());
System.out.format("Job title: %s%n", job.getTitle());
}
}
}
use of com.google.cloud.aiplatform.v1beta1.JobServiceClient in project java-docs-samples by GoogleCloudPlatform.
the class JobSearchCreateJobCustomAttributes method createJob.
// Create Job with Custom Attributes.
public static void createJob(String projectId, String tenantId, String companyId, String requisitionId) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
TenantName parent = TenantName.of(projectId, tenantId);
// Custom attribute can be string or numeric value, and can be filtered in search queries.
// https://cloud.google.com/talent-solution/job-search/docs/custom-attributes
CustomAttribute customAttribute = CustomAttribute.newBuilder().addStringValues("Internship").addStringValues("Apprenticeship").setFilterable(true).build();
Job job = Job.newBuilder().setCompany(companyId).setTitle("Software Developer I").setDescription("This is a description of this <i>wonderful</i> job!").putCustomAttributes("FOR_STUDENTS", customAttribute).setRequisitionId(requisitionId).setLanguageCode("en-US").build();
CreateJobRequest request = CreateJobRequest.newBuilder().setParent(parent.toString()).setJob(job).build();
Job response = jobServiceClient.createJob(request);
System.out.printf("Created job: %s\n", response.getName());
}
}
Aggregations