class Google::Apis::BigqueryV2::EvaluationMetrics
Evaluation metrics of a model. These are either computed on all training data or just the eval data based on whether eval data was used during training. These are not present for imported models.
Attributes
Model
evaluation metrics for ARIMA forecasting models. Corresponds to the JSON property `arimaForecastingMetrics` @return [Google::Apis::BigqueryV2::ArimaForecastingMetrics]
Evaluation metrics for binary classification/classifier models. Corresponds to the JSON property `binaryClassificationMetrics` @return [Google::Apis::BigqueryV2::BinaryClassificationMetrics]
Evaluation metrics for clustering models. Corresponds to the JSON property `clusteringMetrics` @return [Google::Apis::BigqueryV2::ClusteringMetrics]
Evaluation metrics for multi-class classification/classifier models. Corresponds to the JSON property `multiClassClassificationMetrics` @return [Google::Apis::BigqueryV2::MultiClassClassificationMetrics]
Evaluation metrics used by weighted-ALS models specified by feedback_type= implicit. Corresponds to the JSON property `rankingMetrics` @return [Google::Apis::BigqueryV2::RankingMetrics]
Evaluation metrics for regression and explicit feedback type matrix factorization models. Corresponds to the JSON property `regressionMetrics` @return [Google::Apis::BigqueryV2::RegressionMetrics]
Public Class Methods
# File lib/google/apis/bigquery_v2/classes.rb, line 2096 def initialize(**args) update!(**args) end
Public Instance Methods
Update properties of this object
# File lib/google/apis/bigquery_v2/classes.rb, line 2101 def update!(**args) @arima_forecasting_metrics = args[:arima_forecasting_metrics] if args.key?(:arima_forecasting_metrics) @binary_classification_metrics = args[:binary_classification_metrics] if args.key?(:binary_classification_metrics) @clustering_metrics = args[:clustering_metrics] if args.key?(:clustering_metrics) @multi_class_classification_metrics = args[:multi_class_classification_metrics] if args.key?(:multi_class_classification_metrics) @ranking_metrics = args[:ranking_metrics] if args.key?(:ranking_metrics) @regression_metrics = args[:regression_metrics] if args.key?(:regression_metrics) end