File "ArimaSingleModelForecastingMetrics.php"
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<?php
/*
* Copyright 2014 Google Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not
* use this file except in compliance with the License. You may obtain a copy of
* the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations under
* the License.
*/
namespace Google\Service\Bigquery;
class ArimaSingleModelForecastingMetrics extends \Google\Collection
{
protected $collection_key = 'timeSeriesIds';
protected $arimaFittingMetricsType = ArimaFittingMetrics::class;
protected $arimaFittingMetricsDataType = '';
/**
* Is arima model fitted with drift or not. It is always false when d is not
* 1.
*
* @var bool
*/
public $hasDrift;
/**
* If true, holiday_effect is a part of time series decomposition result.
*
* @var bool
*/
public $hasHolidayEffect;
/**
* If true, spikes_and_dips is a part of time series decomposition result.
*
* @var bool
*/
public $hasSpikesAndDips;
/**
* If true, step_changes is a part of time series decomposition result.
*
* @var bool
*/
public $hasStepChanges;
protected $nonSeasonalOrderType = ArimaOrder::class;
protected $nonSeasonalOrderDataType = '';
/**
* Seasonal periods. Repeated because multiple periods are supported for one
* time series.
*
* @var string[]
*/
public $seasonalPeriods;
/**
* 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.
*
* @var string
*/
public $timeSeriesId;
/**
* 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.
*
* @var string[]
*/
public $timeSeriesIds;
/**
* Arima fitting metrics.
*
* @param ArimaFittingMetrics $arimaFittingMetrics
*/
public function setArimaFittingMetrics(ArimaFittingMetrics $arimaFittingMetrics)
{
$this->arimaFittingMetrics = $arimaFittingMetrics;
}
/**
* @return ArimaFittingMetrics
*/
public function getArimaFittingMetrics()
{
return $this->arimaFittingMetrics;
}
/**
* Is arima model fitted with drift or not. It is always false when d is not
* 1.
*
* @param bool $hasDrift
*/
public function setHasDrift($hasDrift)
{
$this->hasDrift = $hasDrift;
}
/**
* @return bool
*/
public function getHasDrift()
{
return $this->hasDrift;
}
/**
* If true, holiday_effect is a part of time series decomposition result.
*
* @param bool $hasHolidayEffect
*/
public function setHasHolidayEffect($hasHolidayEffect)
{
$this->hasHolidayEffect = $hasHolidayEffect;
}
/**
* @return bool
*/
public function getHasHolidayEffect()
{
return $this->hasHolidayEffect;
}
/**
* If true, spikes_and_dips is a part of time series decomposition result.
*
* @param bool $hasSpikesAndDips
*/
public function setHasSpikesAndDips($hasSpikesAndDips)
{
$this->hasSpikesAndDips = $hasSpikesAndDips;
}
/**
* @return bool
*/
public function getHasSpikesAndDips()
{
return $this->hasSpikesAndDips;
}
/**
* If true, step_changes is a part of time series decomposition result.
*
* @param bool $hasStepChanges
*/
public function setHasStepChanges($hasStepChanges)
{
$this->hasStepChanges = $hasStepChanges;
}
/**
* @return bool
*/
public function getHasStepChanges()
{
return $this->hasStepChanges;
}
/**
* Non-seasonal order.
*
* @param ArimaOrder $nonSeasonalOrder
*/
public function setNonSeasonalOrder(ArimaOrder $nonSeasonalOrder)
{
$this->nonSeasonalOrder = $nonSeasonalOrder;
}
/**
* @return ArimaOrder
*/
public function getNonSeasonalOrder()
{
return $this->nonSeasonalOrder;
}
/**
* Seasonal periods. Repeated because multiple periods are supported for one
* time series.
*
* @param string[] $seasonalPeriods
*/
public function setSeasonalPeriods($seasonalPeriods)
{
$this->seasonalPeriods = $seasonalPeriods;
}
/**
* @return string[]
*/
public function getSeasonalPeriods()
{
return $this->seasonalPeriods;
}
/**
* 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.
*
* @param string $timeSeriesId
*/
public function setTimeSeriesId($timeSeriesId)
{
$this->timeSeriesId = $timeSeriesId;
}
/**
* @return string
*/
public function getTimeSeriesId()
{
return $this->timeSeriesId;
}
/**
* 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.
*
* @param string[] $timeSeriesIds
*/
public function setTimeSeriesIds($timeSeriesIds)
{
$this->timeSeriesIds = $timeSeriesIds;
}
/**
* @return string[]
*/
public function getTimeSeriesIds()
{
return $this->timeSeriesIds;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(ArimaSingleModelForecastingMetrics::class, 'Google_Service_Bigquery_ArimaSingleModelForecastingMetrics');