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ArimaFittingMetrics (BigQuery API v2-rev20240727-2.0.0)











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



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.ArimaFittingMetrics













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




public final class ArimaFittingMetrics
extends com.google.api.client.json.GenericJson
ARIMA model fitting metrics.

  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


ArimaFittingMetrics() 









Method Summary

All Methods Instance Methods Concrete Methods 

Modifier and Type
Method and Description


ArimaFittingMetrics
clone() 


Double
getAic()
AIC.



Double
getLogLikelihood()
Log-likelihood.



Double
getVariance()
Variance.



ArimaFittingMetrics
set(String fieldName,
   Object value) 


ArimaFittingMetrics
setAic(Double aic)
AIC.



ArimaFittingMetrics
setLogLikelihood(Double logLikelihood)
Log-likelihood.



ArimaFittingMetrics
setVariance(Double variance)
Variance.







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





ArimaFittingMetrics
public ArimaFittingMetrics()









Method Detail





getAic
public Double getAic()
AIC.

Returns:
value or null for none








setAic
public ArimaFittingMetrics setAic(Double aic)
AIC.

Parameters:
aic - aic or null for none








getLogLikelihood
public Double getLogLikelihood()
Log-likelihood.

Returns:
value or null for none








setLogLikelihood
public ArimaFittingMetrics setLogLikelihood(Double logLikelihood)
Log-likelihood.

Parameters:
logLikelihood - logLikelihood or null for none








getVariance
public Double getVariance()
Variance.

Returns:
value or null for none








setVariance
public ArimaFittingMetrics setVariance(Double variance)
Variance.

Parameters:
variance - variance or null for none








set
public ArimaFittingMetrics set(String fieldName,
                               Object value)

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








clone
public ArimaFittingMetrics 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
`ArimaFittingMetrics`	`clone()`
`Double`	`getAic()` AIC.
`Double`	`getLogLikelihood()` Log-likelihood.
`Double`	`getVariance()` Variance.
`ArimaFittingMetrics`	`set(String fieldName, Object value)`
`ArimaFittingMetrics`	`setAic(Double aic)` AIC.
`ArimaFittingMetrics`	`setLogLikelihood(Double logLikelihood)` Log-likelihood.
`ArimaFittingMetrics`	`setVariance(Double variance)` Variance.