Class: Google::Apis::BigqueryV2::ClusteringMetrics

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/bigquery_v2/classes.rb,
lib/google/apis/bigquery_v2/representations.rb,
lib/google/apis/bigquery_v2/representations.rb

Overview

Evaluation metrics for clustering models.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ ClusteringMetrics

Returns a new instance of ClusteringMetrics.



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 1236

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#clusters ⇒ Array<Google::Apis::BigqueryV2::Cluster>

Information for all clusters. Corresponds to the JSON property clusters

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 1224

def clusters
  @clusters
end

#davies_bouldin_index ⇒ Float

Davies-Bouldin index. Corresponds to the JSON property daviesBouldinIndex

Returns:

  • (Float) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 1229

def davies_bouldin_index
  @davies_bouldin_index
end

#mean_squared_distance ⇒ Float

Mean of squared distances between each sample to its cluster centroid. Corresponds to the JSON property meanSquaredDistance

Returns:

  • (Float) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 1234

def mean_squared_distance
  @mean_squared_distance
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 1241

def update!(**args)
  @clusters = args[:clusters] if args.key?(:clusters)
  @davies_bouldin_index = args[:davies_bouldin_index] if args.key?(:davies_bouldin_index)
  @mean_squared_distance = args[:mean_squared_distance] if args.key?(:mean_squared_distance)
end