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.
-
arimaForecastingMetrics
(type:GoogleApi.BigQuery.V2.Model.ArimaForecastingMetrics.t
, default:nil
) - Populated for ARIMA models. -
binaryClassificationMetrics
(type:GoogleApi.BigQuery.V2.Model.BinaryClassificationMetrics.t
, default:nil
) - Populated for binary classification/classifier models. -
clusteringMetrics
(type:GoogleApi.BigQuery.V2.Model.ClusteringMetrics.t
, default:nil
) - Populated for clustering models. -
multiClassClassificationMetrics
(type:GoogleApi.BigQuery.V2.Model.MultiClassClassificationMetrics.t
, default:nil
) - Populated for multi-class classification/classifier models. -
rankingMetrics
(type:GoogleApi.BigQuery.V2.Model.RankingMetrics.t
, default:nil
) - Populated for implicit feedback type matrix factorization models. -
regressionMetrics
(type:GoogleApi.BigQuery.V2.Model.RegressionMetrics.t
, default:nil
) - Populated for regression models and explicit feedback type matrix factorization models.
Specs
t() :: %GoogleApi.BigQuery.V2.Model.EvaluationMetrics{ arimaForecastingMetrics: GoogleApi.BigQuery.V2.Model.ArimaForecastingMetrics.t(), binaryClassificationMetrics: GoogleApi.BigQuery.V2.Model.BinaryClassificationMetrics.t(), clusteringMetrics: GoogleApi.BigQuery.V2.Model.ClusteringMetrics.t(), multiClassClassificationMetrics: GoogleApi.BigQuery.V2.Model.MultiClassClassificationMetrics.t(), rankingMetrics: GoogleApi.BigQuery.V2.Model.RankingMetrics.t(), regressionMetrics: GoogleApi.BigQuery.V2.Model.RegressionMetrics.t() }