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ClusteringMetrics (BigQuery API v2-rev20240727-2.0.0)











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com.google.api.services.bigquery.model
Class ClusteringMetrics



java.lang.Object


java.util.AbstractMap<String,Object>


com.google.api.client.util.GenericData


com.google.api.client.json.GenericJson


com.google.api.services.bigquery.model.ClusteringMetrics













All Implemented Interfaces:
Cloneable, Map<String,Object>




public final class ClusteringMetrics
extends com.google.api.client.json.GenericJson
Evaluation metrics for clustering models.

  This is the Java data model class that specifies how to parse/serialize into the JSON that is
 transmitted over HTTP when working with the BigQuery API. For a detailed explanation see:
 https://developers.google.com/api-client-library/java/google-http-java-client/json
 

Author:
Google, Inc.












Nested Class Summary




Nested classes/interfaces inherited from class com.google.api.client.util.GenericData
com.google.api.client.util.GenericData.Flags





Nested classes/interfaces inherited from class java.util.AbstractMap
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>





Nested classes/interfaces inherited from interface java.util.Map
Map.Entry<K,V>








Constructor Summary

Constructors 

Constructor and Description


ClusteringMetrics() 









Method Summary

All Methods Instance Methods Concrete Methods 

Modifier and Type
Method and Description


ClusteringMetrics
clone() 


List<Cluster>
getClusters()
Information for all clusters.



Double
getDaviesBouldinIndex()
Davies-Bouldin index.



Double
getMeanSquaredDistance()
Mean of squared distances between each sample to its cluster centroid.



ClusteringMetrics
set(String fieldName,
   Object value) 


ClusteringMetrics
setClusters(List<Cluster> clusters)
Information for all clusters.



ClusteringMetrics
setDaviesBouldinIndex(Double daviesBouldinIndex)
Davies-Bouldin index.



ClusteringMetrics
setMeanSquaredDistance(Double meanSquaredDistance)
Mean of squared distances between each sample to its cluster centroid.







Methods inherited from class com.google.api.client.json.GenericJson
getFactory, setFactory, toPrettyString, toString





Methods inherited from class com.google.api.client.util.GenericData
entrySet, equals, get, getClassInfo, getUnknownKeys, hashCode, put, putAll, remove, setUnknownKeys





Methods inherited from class java.util.AbstractMap
clear, containsKey, containsValue, isEmpty, keySet, size, values





Methods inherited from class java.lang.Object
finalize, getClass, notify, notifyAll, wait, wait, wait





Methods inherited from interface java.util.Map
compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll














Constructor Detail





ClusteringMetrics
public ClusteringMetrics()









Method Detail





getClusters
public List<Cluster> getClusters()
Information for all clusters.

Returns:
value or null for none








setClusters
public ClusteringMetrics setClusters(List<Cluster> clusters)
Information for all clusters.

Parameters:
clusters - clusters or null for none








getDaviesBouldinIndex
public Double getDaviesBouldinIndex()
Davies-Bouldin index.

Returns:
value or null for none








setDaviesBouldinIndex
public ClusteringMetrics setDaviesBouldinIndex(Double daviesBouldinIndex)
Davies-Bouldin index.

Parameters:
daviesBouldinIndex - daviesBouldinIndex or null for none








getMeanSquaredDistance
public Double getMeanSquaredDistance()
Mean of squared distances between each sample to its cluster centroid.

Returns:
value or null for none








setMeanSquaredDistance
public ClusteringMetrics setMeanSquaredDistance(Double meanSquaredDistance)
Mean of squared distances between each sample to its cluster centroid.

Parameters:
meanSquaredDistance - meanSquaredDistance or null for none








set
public ClusteringMetrics set(String fieldName,
                             Object value)

Overrides:
set in class com.google.api.client.json.GenericJson








clone
public ClusteringMetrics clone()

Overrides:
clone in class com.google.api.client.json.GenericJson














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Copyright © 2011–2024 Google. All rights reserved.

Modifier and Type	Method and Description
`ClusteringMetrics`	`clone()`
`List<Cluster>`	`getClusters()` Information for all clusters.
`Double`	`getDaviesBouldinIndex()` Davies-Bouldin index.
`Double`	`getMeanSquaredDistance()` Mean of squared distances between each sample to its cluster centroid.
`ClusteringMetrics`	`set(String fieldName, Object value)`
`ClusteringMetrics`	`setClusters(List<Cluster> clusters)` Information for all clusters.
`ClusteringMetrics`	`setDaviesBouldinIndex(Double daviesBouldinIndex)` Davies-Bouldin index.
`ClusteringMetrics`	`setMeanSquaredDistance(Double meanSquaredDistance)` Mean of squared distances between each sample to its cluster centroid.