GoogleApi.BigQuery.V2.Model.EvaluationMetrics (google_api_big_query v0.70.1) 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.


  • 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


Unwrap a decoded JSON object into its complex fields.

Link to this section Types


t() :: %GoogleApi.BigQuery.V2.Model.EvaluationMetrics{
    GoogleApi.BigQuery.V2.Model.ArimaForecastingMetrics.t() | nil,
    GoogleApi.BigQuery.V2.Model.BinaryClassificationMetrics.t() | nil,
  clusteringMetrics: GoogleApi.BigQuery.V2.Model.ClusteringMetrics.t() | nil,
    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


decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.