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

arima_forecasting_metrics[RW]

Model evaluation metrics for ARIMA forecasting models. Corresponds to the JSON property `arimaForecastingMetrics` @return [Google::Apis::BigqueryV2::ArimaForecastingMetrics]

binary_classification_metrics[RW]

Evaluation metrics for binary classification/classifier models. Corresponds to the JSON property `binaryClassificationMetrics` @return [Google::Apis::BigqueryV2::BinaryClassificationMetrics]

clustering_metrics[RW]

Evaluation metrics for clustering models. Corresponds to the JSON property `clusteringMetrics` @return [Google::Apis::BigqueryV2::ClusteringMetrics]

multi_class_classification_metrics[RW]

Evaluation metrics for multi-class classification/classifier models. Corresponds to the JSON property `multiClassClassificationMetrics` @return [Google::Apis::BigqueryV2::MultiClassClassificationMetrics]

ranking_metrics[RW]

Evaluation metrics used by weighted-ALS models specified by feedback_type= implicit. Corresponds to the JSON property `rankingMetrics` @return [Google::Apis::BigqueryV2::RankingMetrics]

regression_metrics[RW]

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

new(**args) click to toggle source
# File lib/google/apis/bigquery_v2/classes.rb, line 2096
def initialize(**args)
   update!(**args)
end

Public Instance Methods

update!(**args) click to toggle source

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