GoogleApi.BigQuery.V2.Model.EvaluationMetrics (google_api_big_query v0.46.0)

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.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

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()
}

Functions

decode(value, options)

Specs

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

Unwrap a decoded JSON object into its complex fields.