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

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