target.apidocs.com.google.api.services.bigquery.model.ClusteringMetrics.html Maven / Gradle / Ivy
ClusteringMetrics (BigQuery API v2-rev20240905-2.0.0)
com.google.api.services.bigquery.model
Class ClusteringMetrics
- java.lang.Object
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- java.util.AbstractMap<String,Object>
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- com.google.api.client.util.GenericData
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- com.google.api.client.json.GenericJson
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- com.google.api.services.bigquery.model.ClusteringMetrics
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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.
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Nested Class Summary
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Nested classes/interfaces inherited from class com.google.api.client.util.GenericData
com.google.api.client.util.GenericData.Flags
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Nested classes/interfaces inherited from class java.util.AbstractMap
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>
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Constructor Summary
Constructors
Constructor and Description
ClusteringMetrics()
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Method Summary
All Methods Instance Methods Concrete Methods
Modifier and Type
Method and Description
ClusteringMetricsclone()
List<Cluster>getClusters()
Information for all clusters.
DoublegetDaviesBouldinIndex()
Davies-Bouldin index.
DoublegetMeanSquaredDistance()
Mean of squared distances between each sample to its cluster centroid.
ClusteringMetricsset(String fieldName,
Object value)
ClusteringMetricssetClusters(List<Cluster> clusters)
Information for all clusters.
ClusteringMetricssetDaviesBouldinIndex(Double daviesBouldinIndex)
Davies-Bouldin index.
ClusteringMetricssetMeanSquaredDistance(Double meanSquaredDistance)
Mean of squared distances between each sample to its cluster centroid.
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Methods inherited from class com.google.api.client.json.GenericJson
getFactory, setFactory, toPrettyString, toString
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Methods inherited from class com.google.api.client.util.GenericData
entrySet, equals, get, getClassInfo, getUnknownKeys, hashCode, put, putAll, remove, setUnknownKeys
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Methods inherited from class java.util.AbstractMap
clear, containsKey, containsValue, isEmpty, keySet, size, values
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Methods inherited from class java.lang.Object
finalize, getClass, notify, notifyAll, wait, wait, wait
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Methods inherited from interface java.util.Map
compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll
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Method Detail
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getClusters
public List<Cluster> getClusters()
Information for all clusters.
- Returns:
- value or
null for none
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setClusters
public ClusteringMetrics setClusters(List<Cluster> clusters)
Information for all clusters.
- Parameters:
clusters - clusters or null for none
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getDaviesBouldinIndex
public Double getDaviesBouldinIndex()
Davies-Bouldin index.
- Returns:
- value or
null for none
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setDaviesBouldinIndex
public ClusteringMetrics setDaviesBouldinIndex(Double daviesBouldinIndex)
Davies-Bouldin index.
- Parameters:
daviesBouldinIndex - daviesBouldinIndex or null for none
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getMeanSquaredDistance
public Double getMeanSquaredDistance()
Mean of squared distances between each sample to its cluster centroid.
- Returns:
- value or
null for none
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setMeanSquaredDistance
public ClusteringMetrics setMeanSquaredDistance(Double meanSquaredDistance)
Mean of squared distances between each sample to its cluster centroid.
- Parameters:
meanSquaredDistance - meanSquaredDistance or null for none
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set
public ClusteringMetrics set(String fieldName,
Object value)
- Overrides:
set in class com.google.api.client.json.GenericJson
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clone
public ClusteringMetrics clone()
- Overrides:
clone in class com.google.api.client.json.GenericJson
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