GoogleApi.BigQuery.V2.Model.EvaluationMetrics (google_api_big_query v0.63.0) View Source
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
-
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.
Link to this section Summary
Functions
Unwrap a decoded JSON object into its complex fields.
Link to this section Types
Specs
t() :: %GoogleApi.BigQuery.V2.Model.EvaluationMetrics{
arimaForecastingMetrics:
GoogleApi.BigQuery.V2.Model.ArimaForecastingMetrics.t() | nil,
binaryClassificationMetrics:
GoogleApi.BigQuery.V2.Model.BinaryClassificationMetrics.t() | nil,
clusteringMetrics: GoogleApi.BigQuery.V2.Model.ClusteringMetrics.t() | nil,
multiClassClassificationMetrics:
GoogleApi.BigQuery.V2.Model.MultiClassClassificationMetrics.t() | nil,
rankingMetrics: GoogleApi.BigQuery.V2.Model.RankingMetrics.t() | nil,
regressionMetrics: GoogleApi.BigQuery.V2.Model.RegressionMetrics.t() | nil
}
Link to this section Functions
Specs
Unwrap a decoded JSON object into its complex fields.