use of com.google.cloud.aiplatform.v1.Model in project modello by codehaus-plexus.
the class PackageVersionVerifier method testModelAddMailingList.
public void testModelAddMailingList() {
Model model = new Model();
model.addMailingList(createMailingList(0));
model.addMailingList(createMailingList(1));
model.addMailingList(createMailingList(2));
List actual = model.getMailingLists();
Assert.assertEquals("/model/mailinglists.size", 3, actual.size());
for (int i = 0; i < 3; i++) {
assertMailingList(createMailingList(i), (MailingList) actual.get(i));
}
}
use of com.google.cloud.aiplatform.v1.Model in project java-aiplatform by googleapis.
the class ModelServiceClientTest method listModelsTest2.
@Test
public void listModelsTest2() throws Exception {
Model responsesElement = Model.newBuilder().build();
ListModelsResponse expectedResponse = ListModelsResponse.newBuilder().setNextPageToken("").addAllModels(Arrays.asList(responsesElement)).build();
mockModelService.addResponse(expectedResponse);
String parent = "parent-995424086";
ListModelsPagedResponse pagedListResponse = client.listModels(parent);
List<Model> resources = Lists.newArrayList(pagedListResponse.iterateAll());
Assert.assertEquals(1, resources.size());
Assert.assertEquals(expectedResponse.getModelsList().get(0), resources.get(0));
List<AbstractMessage> actualRequests = mockModelService.getRequests();
Assert.assertEquals(1, actualRequests.size());
ListModelsRequest actualRequest = ((ListModelsRequest) actualRequests.get(0));
Assert.assertEquals(parent, actualRequest.getParent());
Assert.assertTrue(channelProvider.isHeaderSent(ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
}
use of com.google.cloud.aiplatform.v1.Model in project java-aiplatform by googleapis.
the class ModelServiceClientTest method listModelEvaluationsTest.
@Test
public void listModelEvaluationsTest() throws Exception {
ModelEvaluation responsesElement = ModelEvaluation.newBuilder().build();
ListModelEvaluationsResponse expectedResponse = ListModelEvaluationsResponse.newBuilder().setNextPageToken("").addAllModelEvaluations(Arrays.asList(responsesElement)).build();
mockModelService.addResponse(expectedResponse);
ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
ListModelEvaluationsPagedResponse pagedListResponse = client.listModelEvaluations(parent);
List<ModelEvaluation> resources = Lists.newArrayList(pagedListResponse.iterateAll());
Assert.assertEquals(1, resources.size());
Assert.assertEquals(expectedResponse.getModelEvaluationsList().get(0), resources.get(0));
List<AbstractMessage> actualRequests = mockModelService.getRequests();
Assert.assertEquals(1, actualRequests.size());
ListModelEvaluationsRequest actualRequest = ((ListModelEvaluationsRequest) actualRequests.get(0));
Assert.assertEquals(parent.toString(), actualRequest.getParent());
Assert.assertTrue(channelProvider.isHeaderSent(ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
}
use of com.google.cloud.aiplatform.v1.Model in project java-aiplatform by googleapis.
the class GetModelEvaluationTextEntityExtractionSample method getModelEvaluationTextEntityExtractionSample.
static void getModelEvaluationTextEntityExtractionSample(String project, String modelId, String evaluationId) throws IOException {
ModelServiceSettings modelServiceSettings = ModelServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
// the "close" method on the client to safely clean up any remaining background resources.
try (ModelServiceClient modelServiceClient = ModelServiceClient.create(modelServiceSettings)) {
String location = "us-central1";
ModelEvaluationName modelEvaluationName = ModelEvaluationName.of(project, location, modelId, evaluationId);
ModelEvaluation modelEvaluation = modelServiceClient.getModelEvaluation(modelEvaluationName);
System.out.println("Get Model Evaluation Text Entity Extraction Response");
System.out.format("\tModel Name: %s\n", modelEvaluation.getName());
System.out.format("\tMetrics Schema Uri: %s\n", modelEvaluation.getMetricsSchemaUri());
System.out.format("\tMetrics: %s\n", modelEvaluation.getMetrics());
System.out.format("\tCreate Time: %s\n", modelEvaluation.getCreateTime());
System.out.format("\tSlice Dimensions: %s\n", modelEvaluation.getSliceDimensionsList());
}
}
use of com.google.cloud.aiplatform.v1.Model in project java-aiplatform by googleapis.
the class GetModelEvaluationTextSentimentAnalysisSample method getModelEvaluationTextSentimentAnalysisSample.
static void getModelEvaluationTextSentimentAnalysisSample(String project, String modelId, String evaluationId) throws IOException {
ModelServiceSettings modelServiceSettings = ModelServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
// the "close" method on the client to safely clean up any remaining background resources.
try (ModelServiceClient modelServiceClient = ModelServiceClient.create(modelServiceSettings)) {
String location = "us-central1";
ModelEvaluationName modelEvaluationName = ModelEvaluationName.of(project, location, modelId, evaluationId);
ModelEvaluation modelEvaluation = modelServiceClient.getModelEvaluation(modelEvaluationName);
System.out.println("Get Model Evaluation Text Sentiment Analysis Response");
System.out.format("\tModel Name: %s\n", modelEvaluation.getName());
System.out.format("\tMetrics Schema Uri: %s\n", modelEvaluation.getMetricsSchemaUri());
System.out.format("\tMetrics: %s\n", modelEvaluation.getMetrics());
System.out.format("\tCreate Time: %s\n", modelEvaluation.getCreateTime());
System.out.format("\tSlice Dimensions: %s\n", modelEvaluation.getSliceDimensionsList());
}
}
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