use of com.google.cloud.aiplatform.v1.ModelEvaluationName in project java-aiplatform by googleapis.
the class ListModelEvaluationSliceSample method listModelEvaluationSliceSample.
static void listModelEvaluationSliceSample(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);
for (ModelEvaluationSlice modelEvaluationSlice : modelServiceClient.listModelEvaluationSlices(modelEvaluationName).iterateAll()) {
System.out.format("Model Evaluation Slice Name: %s\n", modelEvaluationSlice.getName());
System.out.format("Metrics Schema Uri: %s\n", modelEvaluationSlice.getMetricsSchemaUri());
System.out.format("Metrics: %s\n", modelEvaluationSlice.getMetrics());
System.out.format("Create Time: %s\n", modelEvaluationSlice.getCreateTime());
Slice slice = modelEvaluationSlice.getSlice();
System.out.format("Slice Dimensions: %s\n", slice.getDimension());
System.out.format("Slice Value: %s\n\n", slice.getValue());
}
}
}
use of com.google.cloud.aiplatform.v1.ModelEvaluationName in project java-aiplatform by googleapis.
the class GetModelEvaluationImageClassificationSample method getModelEvaluationImageClassificationSample.
static void getModelEvaluationImageClassificationSample(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 Image Classification Response");
System.out.format("Model 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 GetModelEvaluationTabularClassificationSample method getModelEvaluationTabularClassification.
static void getModelEvaluationTabularClassification(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 Tabular Classification Response");
System.out.format("\tName: %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 GetModelEvaluationTabularRegressionSample method getModelEvaluationTabularRegression.
static void getModelEvaluationTabularRegression(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 Tabular Regression Response");
System.out.format("\tName: %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-automl by googleapis.
the class GetModelEvaluation method getModelEvaluation.
// Get a model evaluation
static void getModelEvaluation(String projectId, String modelId, String modelEvaluationId) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// Get the full path of the model evaluation.
ModelEvaluationName modelEvaluationFullId = ModelEvaluationName.of(projectId, "us-central1", modelId, modelEvaluationId);
// Get complete detail of the model evaluation.
ModelEvaluation modelEvaluation = client.getModelEvaluation(modelEvaluationFullId);
System.out.format("Model Evaluation Name: %s\n", modelEvaluation.getName());
System.out.format("Model Annotation Spec Id: %s", modelEvaluation.getAnnotationSpecId());
System.out.println("Create Time:");
System.out.format("\tseconds: %s\n", modelEvaluation.getCreateTime().getSeconds());
System.out.format("\tnanos: %s", modelEvaluation.getCreateTime().getNanos() / 1e9);
System.out.format("Evalution Example Count: %d\n", modelEvaluation.getEvaluatedExampleCount());
// [END automl_language_sentiment_analysis_get_model_evaluation]
// [END automl_language_text_classification_get_model_evaluation]
// [END automl_translate_get_model_evaluation]
// [END automl_vision_classification_get_model_evaluation]
// [END automl_vision_object_detection_get_model_evaluation]
System.out.format("Entity Extraction Model Evaluation Metrics: %s\n", modelEvaluation.getTextExtractionEvaluationMetrics());
// [END automl_language_entity_extraction_get_model_evaluation]
// [START automl_language_sentiment_analysis_get_model_evaluation]
System.out.format("Sentiment Analysis Model Evaluation Metrics: %s\n", modelEvaluation.getTextSentimentEvaluationMetrics());
// [END automl_language_sentiment_analysis_get_model_evaluation]
// [START automl_language_text_classification_get_model_evaluation]
// [START automl_vision_classification_get_model_evaluation]
System.out.format("Classification Model Evaluation Metrics: %s\n", modelEvaluation.getClassificationEvaluationMetrics());
// [END automl_language_text_classification_get_model_evaluation]
// [END automl_vision_classification_get_model_evaluation]
// [START automl_translate_get_model_evaluation]
System.out.format("Translate Model Evaluation Metrics: %s\n", modelEvaluation.getTranslationEvaluationMetrics());
// [END automl_translate_get_model_evaluation]
// [START automl_vision_object_detection_get_model_evaluation]
System.out.format("Object Detection Model Evaluation Metrics: %s\n", modelEvaluation.getImageObjectDetectionEvaluationMetrics());
// [START automl_language_entity_extraction_get_model_evaluation]
// [START automl_language_sentiment_analysis_get_model_evaluation]
// [START automl_language_text_classification_get_model_evaluation]
// [START automl_translate_get_model_evaluation]
// [START automl_vision_classification_get_model_evaluation]
}
}
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