Class: Google::Apis::BigqueryV2::EvaluationMetrics
- Inherits:
-
Object
- Object
- Google::Apis::BigqueryV2::EvaluationMetrics
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- generated/google/apis/bigquery_v2/classes.rb,
generated/google/apis/bigquery_v2/representations.rb,
generated/google/apis/bigquery_v2/representations.rb
Overview
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.
Instance Attribute Summary collapse
-
#arima_forecasting_metrics ⇒ Google::Apis::BigqueryV2::ArimaForecastingMetrics
Model evaluation metrics for ARIMA forecasting models.
-
#binary_classification_metrics ⇒ Google::Apis::BigqueryV2::BinaryClassificationMetrics
Evaluation metrics for binary classification/classifier models.
-
#clustering_metrics ⇒ Google::Apis::BigqueryV2::ClusteringMetrics
Evaluation metrics for clustering models.
-
#multi_class_classification_metrics ⇒ Google::Apis::BigqueryV2::MultiClassClassificationMetrics
Evaluation metrics for multi-class classification/classifier models.
-
#ranking_metrics ⇒ Google::Apis::BigqueryV2::RankingMetrics
Evaluation metrics used by weighted-ALS models specified by feedback_type= implicit.
-
#regression_metrics ⇒ Google::Apis::BigqueryV2::RegressionMetrics
Evaluation metrics for regression and explicit feedback type matrix factorization models.
Instance Method Summary collapse
-
#initialize(**args) ⇒ EvaluationMetrics
constructor
A new instance of EvaluationMetrics.
-
#update!(**args) ⇒ Object
Update properties of this object.
Methods included from Core::JsonObjectSupport
Methods included from Core::Hashable
Constructor Details
#initialize(**args) ⇒ EvaluationMetrics
Returns a new instance of EvaluationMetrics.
1830 1831 1832 |
# File 'generated/google/apis/bigquery_v2/classes.rb', line 1830 def initialize(**args) update!(**args) end |
Instance Attribute Details
#arima_forecasting_metrics ⇒ Google::Apis::BigqueryV2::ArimaForecastingMetrics
Model evaluation metrics for ARIMA forecasting models.
Corresponds to the JSON property arimaForecastingMetrics
1801 1802 1803 |
# File 'generated/google/apis/bigquery_v2/classes.rb', line 1801 def arima_forecasting_metrics @arima_forecasting_metrics end |
#binary_classification_metrics ⇒ Google::Apis::BigqueryV2::BinaryClassificationMetrics
Evaluation metrics for binary classification/classifier models.
Corresponds to the JSON property binaryClassificationMetrics
1806 1807 1808 |
# File 'generated/google/apis/bigquery_v2/classes.rb', line 1806 def binary_classification_metrics @binary_classification_metrics end |
#clustering_metrics ⇒ Google::Apis::BigqueryV2::ClusteringMetrics
Evaluation metrics for clustering models.
Corresponds to the JSON property clusteringMetrics
1811 1812 1813 |
# File 'generated/google/apis/bigquery_v2/classes.rb', line 1811 def clustering_metrics @clustering_metrics end |
#multi_class_classification_metrics ⇒ Google::Apis::BigqueryV2::MultiClassClassificationMetrics
Evaluation metrics for multi-class classification/classifier models.
Corresponds to the JSON property multiClassClassificationMetrics
1816 1817 1818 |
# File 'generated/google/apis/bigquery_v2/classes.rb', line 1816 def multi_class_classification_metrics @multi_class_classification_metrics end |
#ranking_metrics ⇒ Google::Apis::BigqueryV2::RankingMetrics
Evaluation metrics used by weighted-ALS models specified by feedback_type=
implicit.
Corresponds to the JSON property rankingMetrics
1822 1823 1824 |
# File 'generated/google/apis/bigquery_v2/classes.rb', line 1822 def ranking_metrics @ranking_metrics end |
#regression_metrics ⇒ Google::Apis::BigqueryV2::RegressionMetrics
Evaluation metrics for regression and explicit feedback type matrix
factorization models.
Corresponds to the JSON property regressionMetrics
1828 1829 1830 |
# File 'generated/google/apis/bigquery_v2/classes.rb', line 1828 def regression_metrics @regression_metrics end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
1835 1836 1837 1838 1839 1840 1841 1842 |
# File 'generated/google/apis/bigquery_v2/classes.rb', line 1835 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 |