Class ClusteringMetrics
Evaluation metrics for clustering models.
Inheritance
object
ClusteringMetrics
Implements
Inherited Members
object.Equals(object)
object.Equals(object, object)
object.GetHashCode()
object.GetType()
object.MemberwiseClone()
object.ReferenceEquals(object, object)
object.ToString()
Namespace: Google.Apis.Bigquery.v2.Data
Assembly: Google.Apis.Bigquery.v2.dll
Syntax
public class ClusteringMetrics : IDirectResponseSchema
Properties
Clusters
Information for all clusters.
Declaration
[JsonProperty("clusters")]
public virtual IList<Cluster> Clusters { get; set; }
Property Value
Type | Description |
---|---|
System.Collections.Generic.IList<T><Cluster> |
DaviesBouldinIndex
Davies-Bouldin index.
Declaration
[JsonProperty("daviesBouldinIndex")]
public virtual double? DaviesBouldinIndex { get; set; }
Property Value
Type | Description |
---|---|
double? |
ETag
The ETag of the item.
Declaration
public virtual string ETag { get; set; }
Property Value
Type | Description |
---|---|
string |
MeanSquaredDistance
Mean of squared distances between each sample to its cluster centroid.
Declaration
[JsonProperty("meanSquaredDistance")]
public virtual double? MeanSquaredDistance { get; set; }
Property Value
Type | Description |
---|---|
double? |