Class: Google::Cloud::AutoML::V1beta1::ModelEvaluation
- Inherits:
-
Object
- Object
- Google::Cloud::AutoML::V1beta1::ModelEvaluation
- Defined in:
- lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/model_evaluation.rb
Overview
Evaluation results of a model.
Instance Attribute Summary collapse
-
#annotation_spec_id ⇒ String
Output only.
-
#classification_evaluation_metrics ⇒ Google::Cloud::AutoML::V1beta1::ClassificationEvaluationMetrics
Model evaluation metrics for image, text, video and tables classification.
-
#create_time ⇒ Google::Protobuf::Timestamp
Output only.
-
#display_name ⇒ String
Output only.
-
#evaluated_example_count ⇒ Integer
Output only.
-
#image_object_detection_evaluation_metrics ⇒ Google::Cloud::AutoML::V1beta1::ImageObjectDetectionEvaluationMetrics
Model evaluation metrics for image object detection.
-
#name ⇒ String
Output only.
-
#regression_evaluation_metrics ⇒ Google::Cloud::AutoML::V1beta1::RegressionEvaluationMetrics
Model evaluation metrics for Tables regression.
-
#text_extraction_evaluation_metrics ⇒ Google::Cloud::AutoML::V1beta1::TextExtractionEvaluationMetrics
Evaluation metrics for text extraction models.
-
#text_sentiment_evaluation_metrics ⇒ Google::Cloud::AutoML::V1beta1::TextSentimentEvaluationMetrics
Evaluation metrics for text sentiment models.
-
#translation_evaluation_metrics ⇒ Google::Cloud::AutoML::V1beta1::TranslationEvaluationMetrics
Model evaluation metrics for translation.
-
#video_object_tracking_evaluation_metrics ⇒ Google::Cloud::AutoML::V1beta1::VideoObjectTrackingEvaluationMetrics
Model evaluation metrics for video object tracking.
Instance Attribute Details
#annotation_spec_id ⇒ String
Returns Output only. The ID of the annotation spec that the model evaluation applies to. The The ID is empty for the overall model evaluation. For Tables annotation specs in the dataset do not exist and this ID is always not set, but for CLASSIFICATION
prediction_type-s the display_name field is used.
92 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/model_evaluation.rb', line 92 class ModelEvaluation; end |
#classification_evaluation_metrics ⇒ Google::Cloud::AutoML::V1beta1::ClassificationEvaluationMetrics
Returns Model evaluation metrics for image, text, video and tables classification. Tables problem is considered a classification when the target column is CATEGORY DataType.
92 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/model_evaluation.rb', line 92 class ModelEvaluation; end |
#create_time ⇒ Google::Protobuf::Timestamp
Returns Output only. Timestamp when this model evaluation was created.
92 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/model_evaluation.rb', line 92 class ModelEvaluation; end |
#display_name ⇒ String
Returns Output only. The value of display_name at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION
prediction_type-s distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.
92 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/model_evaluation.rb', line 92 class ModelEvaluation; end |
#evaluated_example_count ⇒ Integer
Returns Output only. The number of examples used for model evaluation, i.e. for which ground truth from time of model creation is compared against the predicted annotations created by the model. For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is the total number of all examples used for evaluation. Otherwise, this is the count of examples that according to the ground truth were annotated by the
92 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/model_evaluation.rb', line 92 class ModelEvaluation; end |
#image_object_detection_evaluation_metrics ⇒ Google::Cloud::AutoML::V1beta1::ImageObjectDetectionEvaluationMetrics
Returns Model evaluation metrics for image object detection.
92 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/model_evaluation.rb', line 92 class ModelEvaluation; end |
#name ⇒ String
Returns Output only. Resource name of the model evaluation. Format:
projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}
.
92 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/model_evaluation.rb', line 92 class ModelEvaluation; end |
#regression_evaluation_metrics ⇒ Google::Cloud::AutoML::V1beta1::RegressionEvaluationMetrics
Returns Model evaluation metrics for Tables regression. Tables problem is considered a regression when the target column has FLOAT64 DataType.
92 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/model_evaluation.rb', line 92 class ModelEvaluation; end |
#text_extraction_evaluation_metrics ⇒ Google::Cloud::AutoML::V1beta1::TextExtractionEvaluationMetrics
Returns Evaluation metrics for text extraction models.
92 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/model_evaluation.rb', line 92 class ModelEvaluation; end |
#text_sentiment_evaluation_metrics ⇒ Google::Cloud::AutoML::V1beta1::TextSentimentEvaluationMetrics
Returns Evaluation metrics for text sentiment models.
92 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/model_evaluation.rb', line 92 class ModelEvaluation; end |
#translation_evaluation_metrics ⇒ Google::Cloud::AutoML::V1beta1::TranslationEvaluationMetrics
Returns Model evaluation metrics for translation.
92 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/model_evaluation.rb', line 92 class ModelEvaluation; end |
#video_object_tracking_evaluation_metrics ⇒ Google::Cloud::AutoML::V1beta1::VideoObjectTrackingEvaluationMetrics
Returns Model evaluation metrics for video object tracking.
92 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/model_evaluation.rb', line 92 class ModelEvaluation; end |