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

Evaluation metrics for clustering models.

Attributes

clusters (type: list(GoogleApi.BigQuery.V2.Model.Cluster.t), default: nil) - [Beta] Information for all clusters.
daviesBouldinIndex (type: float(), default: nil) - Davies-Bouldin index.
meanSquaredDistance (type: float(), default: nil) - Mean of squared distances between each sample to its cluster centroid.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

Specs

t() :: %GoogleApi.BigQuery.V2.Model.ClusteringMetrics{
  clusters: [GoogleApi.BigQuery.V2.Model.Cluster.t()],
  daviesBouldinIndex: float(),
  meanSquaredDistance: float()
}

Functions

decode(value, options)

Specs

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

Unwrap a decoded JSON object into its complex fields.