Evaluation metrics for clustering models.
-
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.
Specs
t() :: %GoogleApi.BigQuery.V2.Model.ClusteringMetrics{ clusters: [GoogleApi.BigQuery.V2.Model.Cluster.t()], daviesBouldinIndex: float(), meanSquaredDistance: float() }