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



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.ArimaModelInfo













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




public final class ArimaModelInfo
extends com.google.api.client.json.GenericJson
Arima model information.

 
 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


ArimaModelInfo() 









Method Summary

All Methods Instance Methods Concrete Methods 

Modifier and Type
Method and Description


ArimaModelInfo
clone() 


ArimaCoefficients
getArimaCoefficients()
Arima coefficients.



ArimaFittingMetrics
getArimaFittingMetrics()
Arima fitting metrics.



Boolean
getHasDrift()
Whether Arima model fitted with drift or not.



Boolean
getHasHolidayEffect()
If true, holiday_effect is a part of time series decomposition result.



Boolean
getHasSpikesAndDips()
If true, spikes_and_dips is a part of time series decomposition result.



Boolean
getHasStepChanges()
If true, step_changes is a part of time series decomposition result.



ArimaOrder
getNonSeasonalOrder()
Non-seasonal order.



List<String>
getSeasonalPeriods()
Seasonal periods.



String
getTimeSeriesId()
The time_series_id value for this time series.



List<String>
getTimeSeriesIds()
The tuple of time_series_ids identifying this time series.



ArimaModelInfo
set(String fieldName,
   Object value) 


ArimaModelInfo
setArimaCoefficients(ArimaCoefficients arimaCoefficients)
Arima coefficients.



ArimaModelInfo
setArimaFittingMetrics(ArimaFittingMetrics arimaFittingMetrics)
Arima fitting metrics.



ArimaModelInfo
setHasDrift(Boolean hasDrift)
Whether Arima model fitted with drift or not.



ArimaModelInfo
setHasHolidayEffect(Boolean hasHolidayEffect)
If true, holiday_effect is a part of time series decomposition result.



ArimaModelInfo
setHasSpikesAndDips(Boolean hasSpikesAndDips)
If true, spikes_and_dips is a part of time series decomposition result.



ArimaModelInfo
setHasStepChanges(Boolean hasStepChanges)
If true, step_changes is a part of time series decomposition result.



ArimaModelInfo
setNonSeasonalOrder(ArimaOrder nonSeasonalOrder)
Non-seasonal order.



ArimaModelInfo
setSeasonalPeriods(List<String> seasonalPeriods)
Seasonal periods.



ArimaModelInfo
setTimeSeriesId(String timeSeriesId)
The time_series_id value for this time series.



ArimaModelInfo
setTimeSeriesIds(List<String> timeSeriesIds)
The tuple of time_series_ids identifying this time series.







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





ArimaModelInfo
public ArimaModelInfo()









Method Detail





getArimaCoefficients
public ArimaCoefficients getArimaCoefficients()
Arima coefficients.

Returns:
value or null for none








setArimaCoefficients
public ArimaModelInfo setArimaCoefficients(ArimaCoefficients arimaCoefficients)
Arima coefficients.

Parameters:
arimaCoefficients - arimaCoefficients or null for none








getArimaFittingMetrics
public ArimaFittingMetrics getArimaFittingMetrics()
Arima fitting metrics.

Returns:
value or null for none








setArimaFittingMetrics
public ArimaModelInfo setArimaFittingMetrics(ArimaFittingMetrics arimaFittingMetrics)
Arima fitting metrics.

Parameters:
arimaFittingMetrics - arimaFittingMetrics or null for none








getHasDrift
public Boolean getHasDrift()
Whether Arima model fitted with drift or not. It is always false when d is not 1.

Returns:
value or null for none








setHasDrift
public ArimaModelInfo setHasDrift(Boolean hasDrift)
Whether Arima model fitted with drift or not. It is always false when d is not 1.

Parameters:
hasDrift - hasDrift or null for none








getHasHolidayEffect
public Boolean getHasHolidayEffect()
If true, holiday_effect is a part of time series decomposition result.

Returns:
value or null for none








setHasHolidayEffect
public ArimaModelInfo setHasHolidayEffect(Boolean hasHolidayEffect)
If true, holiday_effect is a part of time series decomposition result.

Parameters:
hasHolidayEffect - hasHolidayEffect or null for none








getHasSpikesAndDips
public Boolean getHasSpikesAndDips()
If true, spikes_and_dips is a part of time series decomposition result.

Returns:
value or null for none








setHasSpikesAndDips
public ArimaModelInfo setHasSpikesAndDips(Boolean hasSpikesAndDips)
If true, spikes_and_dips is a part of time series decomposition result.

Parameters:
hasSpikesAndDips - hasSpikesAndDips or null for none








getHasStepChanges
public Boolean getHasStepChanges()
If true, step_changes is a part of time series decomposition result.

Returns:
value or null for none








setHasStepChanges
public ArimaModelInfo setHasStepChanges(Boolean hasStepChanges)
If true, step_changes is a part of time series decomposition result.

Parameters:
hasStepChanges - hasStepChanges or null for none








getNonSeasonalOrder
public ArimaOrder getNonSeasonalOrder()
Non-seasonal order.

Returns:
value or null for none








setNonSeasonalOrder
public ArimaModelInfo setNonSeasonalOrder(ArimaOrder nonSeasonalOrder)
Non-seasonal order.

Parameters:
nonSeasonalOrder - nonSeasonalOrder or null for none








getSeasonalPeriods
public List<String> getSeasonalPeriods()
Seasonal periods. Repeated because multiple periods are supported for one time series.

Returns:
value or null for none








setSeasonalPeriods
public ArimaModelInfo setSeasonalPeriods(List<String> seasonalPeriods)
Seasonal periods. Repeated because multiple periods are supported for one time series.

Parameters:
seasonalPeriods - seasonalPeriods or null for none








getTimeSeriesId
public String getTimeSeriesId()
The time_series_id value for this time series. It will be one of the unique values from the
 time_series_id_column specified during ARIMA model training. Only present when
 time_series_id_column training option was used.

Returns:
value or null for none








setTimeSeriesId
public ArimaModelInfo setTimeSeriesId(String timeSeriesId)
The time_series_id value for this time series. It will be one of the unique values from the
 time_series_id_column specified during ARIMA model training. Only present when
 time_series_id_column training option was used.

Parameters:
timeSeriesId - timeSeriesId or null for none








getTimeSeriesIds
public List<String> getTimeSeriesIds()
The tuple of time_series_ids identifying this time series. It will be one of the unique tuples
 of values present in the time_series_id_columns specified during ARIMA model training. Only
 present when time_series_id_columns training option was used and the order of values here are
 same as the order of time_series_id_columns.

Returns:
value or null for none








setTimeSeriesIds
public ArimaModelInfo setTimeSeriesIds(List<String> timeSeriesIds)
The tuple of time_series_ids identifying this time series. It will be one of the unique tuples
 of values present in the time_series_id_columns specified during ARIMA model training. Only
 present when time_series_id_columns training option was used and the order of values here are
 same as the order of time_series_id_columns.

Parameters:
timeSeriesIds - timeSeriesIds or null for none








set
public ArimaModelInfo set(String fieldName,
                          Object value)

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








clone
public ArimaModelInfo clone()

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














Skip navigation links




Overview
Package
Class
Use
Tree
Deprecated
Index
Help




Prev Class
Next Class


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Summary: 
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Constr | 
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Detail: 
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Constr | 
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