GoogleApi.BigQuery.V2.Model.EvaluationMetrics (google_api_big_query v0.57.0) 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.
  • dimensionalityReductionMetrics (type: GoogleApi.BigQuery.V2.Model.DimensionalityReductionMetrics.t, default: nil) - Evaluation metrics when the model is a dimensionality reduction model, which currently includes PCA.
  • 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.

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Functions

Unwrap a decoded JSON object into its complex fields.

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Link to this section Functions

Specs

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

Unwrap a decoded JSON object into its complex fields.