Class: Google::Apis::BigqueryV2::ArimaModelInfo
- Inherits:
-
Object
- Object
- Google::Apis::BigqueryV2::ArimaModelInfo
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/bigquery_v2/classes.rb,
lib/google/apis/bigquery_v2/representations.rb,
lib/google/apis/bigquery_v2/representations.rb
Overview
Arima model information.
Instance Attribute Summary collapse
-
#arima_coefficients ⇒ Google::Apis::BigqueryV2::ArimaCoefficients
Arima coefficients.
-
#arima_fitting_metrics ⇒ Google::Apis::BigqueryV2::ArimaFittingMetrics
ARIMA model fitting metrics.
-
#has_drift ⇒ Boolean
(also: #has_drift?)
Whether Arima model fitted with drift or not.
-
#has_holiday_effect ⇒ Boolean
(also: #has_holiday_effect?)
If true, holiday_effect is a part of time series decomposition result.
-
#has_spikes_and_dips ⇒ Boolean
(also: #has_spikes_and_dips?)
If true, spikes_and_dips is a part of time series decomposition result.
-
#has_step_changes ⇒ Boolean
(also: #has_step_changes?)
If true, step_changes is a part of time series decomposition result.
-
#non_seasonal_order ⇒ Google::Apis::BigqueryV2::ArimaOrder
Arima order, can be used for both non-seasonal and seasonal parts.
-
#seasonal_periods ⇒ Array<String>
Seasonal periods.
-
#time_series_id ⇒ String
The time_series_id value for this time series.
-
#time_series_ids ⇒ Array<String>
The tuple of time_series_ids identifying this time series.
Instance Method Summary collapse
-
#initialize(**args) ⇒ ArimaModelInfo
constructor
A new instance of ArimaModelInfo.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ ArimaModelInfo
Returns a new instance of ArimaModelInfo.
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# File 'lib/google/apis/bigquery_v2/classes.rb', line 354 def initialize(**args) update!(**args) end |
Instance Attribute Details
#arima_coefficients ⇒ Google::Apis::BigqueryV2::ArimaCoefficients
Arima coefficients.
Corresponds to the JSON property arimaCoefficients
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# File 'lib/google/apis/bigquery_v2/classes.rb', line 295 def arima_coefficients @arima_coefficients end |
#arima_fitting_metrics ⇒ Google::Apis::BigqueryV2::ArimaFittingMetrics
ARIMA model fitting metrics.
Corresponds to the JSON property arimaFittingMetrics
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# File 'lib/google/apis/bigquery_v2/classes.rb', line 300 def arima_fitting_metrics @arima_fitting_metrics end |
#has_drift ⇒ Boolean Also known as: has_drift?
Whether Arima model fitted with drift or not. It is always false when d is not
1.
Corresponds to the JSON property hasDrift
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# File 'lib/google/apis/bigquery_v2/classes.rb', line 306 def has_drift @has_drift end |
#has_holiday_effect ⇒ Boolean Also known as: has_holiday_effect?
If true, holiday_effect is a part of time series decomposition result.
Corresponds to the JSON property hasHolidayEffect
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# File 'lib/google/apis/bigquery_v2/classes.rb', line 312 def has_holiday_effect @has_holiday_effect end |
#has_spikes_and_dips ⇒ Boolean Also known as: has_spikes_and_dips?
If true, spikes_and_dips is a part of time series decomposition result.
Corresponds to the JSON property hasSpikesAndDips
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# File 'lib/google/apis/bigquery_v2/classes.rb', line 318 def has_spikes_and_dips @has_spikes_and_dips end |
#has_step_changes ⇒ Boolean Also known as: has_step_changes?
If true, step_changes is a part of time series decomposition result.
Corresponds to the JSON property hasStepChanges
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# File 'lib/google/apis/bigquery_v2/classes.rb', line 324 def has_step_changes @has_step_changes end |
#non_seasonal_order ⇒ Google::Apis::BigqueryV2::ArimaOrder
Arima order, can be used for both non-seasonal and seasonal parts.
Corresponds to the JSON property nonSeasonalOrder
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# File 'lib/google/apis/bigquery_v2/classes.rb', line 330 def non_seasonal_order @non_seasonal_order end |
#seasonal_periods ⇒ Array<String>
Seasonal periods. Repeated because multiple periods are supported for one time
series.
Corresponds to the JSON property seasonalPeriods
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# File 'lib/google/apis/bigquery_v2/classes.rb', line 336 def seasonal_periods @seasonal_periods end |
#time_series_id ⇒ String
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.
Corresponds to the JSON property timeSeriesId
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# File 'lib/google/apis/bigquery_v2/classes.rb', line 343 def time_series_id @time_series_id end |
#time_series_ids ⇒ Array<String>
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.
Corresponds to the JSON property timeSeriesIds
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# File 'lib/google/apis/bigquery_v2/classes.rb', line 352 def time_series_ids @time_series_ids end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/bigquery_v2/classes.rb', line 359 def update!(**args) @arima_coefficients = args[:arima_coefficients] if args.key?(:arima_coefficients) @arima_fitting_metrics = args[:arima_fitting_metrics] if args.key?(:arima_fitting_metrics) @has_drift = args[:has_drift] if args.key?(:has_drift) @has_holiday_effect = args[:has_holiday_effect] if args.key?(:has_holiday_effect) @has_spikes_and_dips = args[:has_spikes_and_dips] if args.key?(:has_spikes_and_dips) @has_step_changes = args[:has_step_changes] if args.key?(:has_step_changes) @non_seasonal_order = args[:non_seasonal_order] if args.key?(:non_seasonal_order) @seasonal_periods = args[:seasonal_periods] if args.key?(:seasonal_periods) @time_series_id = args[:time_series_id] if args.key?(:time_series_id) @time_series_ids = args[:time_series_ids] if args.key?(:time_series_ids) end |