ArimaModelInfo (BigQuery API v2-rev20221028-2.0.0)

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 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
  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()

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 GenericJson
  - clone
```
public ArimaModelInfo clone()
```
    Overrides:
    
    clone in class GenericJson

Class ArimaModelInfo

Nested Class Summary

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

Nested classes/interfaces inherited from class java.util.AbstractMap

Nested classes/interfaces inherited from interface java.util.Map

Constructor Summary

Method Summary

Methods inherited from class com.google.api.client.json.GenericJson

Methods inherited from class com.google.api.client.util.GenericData

Methods inherited from class java.util.AbstractMap

Methods inherited from class java.lang.Object

Methods inherited from interface java.util.Map

Constructor Detail

ArimaModelInfo

Method Detail

getArimaCoefficients

setArimaCoefficients

getArimaFittingMetrics

setArimaFittingMetrics

getHasDrift

setHasDrift

getHasHolidayEffect

setHasHolidayEffect

getHasSpikesAndDips

setHasSpikesAndDips

getHasStepChanges

setHasStepChanges

getNonSeasonalOrder

setNonSeasonalOrder

getSeasonalPeriods

setSeasonalPeriods

getTimeSeriesId

setTimeSeriesId

getTimeSeriesIds

setTimeSeriesIds

set

clone