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

Example 1 with ModelEvaluation

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

the class ModelServiceClientTest method listModelEvaluationsTest2.

@Test
public void listModelEvaluationsTest2() throws Exception {
    ModelEvaluation responsesElement = ModelEvaluation.newBuilder().build();
    ListModelEvaluationsResponse expectedResponse = ListModelEvaluationsResponse.newBuilder().setNextPageToken("").addAllModelEvaluations(Arrays.asList(responsesElement)).build();
    mockModelService.addResponse(expectedResponse);
    String parent = "parent-995424086";
    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, actualRequest.getParent());
    Assert.assertTrue(channelProvider.isHeaderSent(ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
}

Example 2 with ModelEvaluation

use of com.google.cloud.aiplatform.v1.ModelEvaluation 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()));
}

Example 3 with ModelEvaluation

use of com.google.cloud.aiplatform.v1.ModelEvaluation 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());
    }
}

Example 4 with ModelEvaluation

use of com.google.cloud.aiplatform.v1.ModelEvaluation 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());
    }
}

Example 5 with ModelEvaluation

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

the class GetModelEvaluationVideoActionRecognitionSample method getModelEvaluationVideoActionRecognitionSample.

static void getModelEvaluationVideoActionRecognitionSample(String project, String modelId, String evaluationId) throws IOException {
    ModelServiceSettings settings = ModelServiceSettings.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 (ModelServiceClient client = ModelServiceClient.create(settings)) {
        ModelEvaluationName name = ModelEvaluationName.of(project, location, modelId, evaluationId);
        ModelEvaluation response = client.getModelEvaluation(name);
        System.out.format("response: %s\n", response);
    }
}