use of com.google.cloud.aiplatform.v1.ModelEvaluationName 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.ModelEvaluationName 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());
}
}
use of com.google.cloud.aiplatform.v1.ModelEvaluationName 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);
}
}
use of com.google.cloud.aiplatform.v1.ModelEvaluationName in project java-aiplatform by googleapis.
the class GetModelEvaluationVideoClassificationSample method getModelEvaluationVideoClassification.
static void getModelEvaluationVideoClassification(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 Video Classification Response");
System.out.format("Name: %s\n", modelEvaluation.getName());
System.out.format("Metrics Schema Uri: %s\n", modelEvaluation.getMetricsSchemaUri());
System.out.format("Metrics: %s\n", modelEvaluation.getMetrics());
System.out.format("Create Time: %s\n", modelEvaluation.getCreateTime());
System.out.format("Slice Dimensions: %s\n", modelEvaluation.getSliceDimensionsList());
}
}
use of com.google.cloud.aiplatform.v1.ModelEvaluationName in project java-aiplatform by googleapis.
the class GetModelEvaluationVideoObjectTrackingSample method getModelEvaluationVideoObjectTracking.
static void getModelEvaluationVideoObjectTracking(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 Video Object Tracking Response");
System.out.format("Name: %s\n", modelEvaluation.getName());
System.out.format("Metrics Schema Uri: %s\n", modelEvaluation.getMetricsSchemaUri());
System.out.format("Metrics: %s\n", modelEvaluation.getMetrics());
System.out.format("Create Time: %s\n", modelEvaluation.getCreateTime());
System.out.format("Slice Dimensions: %s\n", modelEvaluation.getSliceDimensionsList());
}
}
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