Class ArimaModelInfo (2.25.2)

Version 2.25.2

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ArimaModelInfo(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Arima model information. .. attribute:: non_seasonal_order

Non-seasonal order.

:type: google.cloud.bigquery_v2.types.Model.ArimaOrder

Attributes

Name	Description
arima_coefficients	google.cloud.bigquery_v2.types.Model.TrainingRun.IterationResult.ArimaResult.ArimaCoefficients Arima coefficients.
arima_fitting_metrics	google.cloud.bigquery_v2.types.Model.ArimaFittingMetrics Arima fitting metrics.
has_drift	bool Whether Arima model fitted with drift or not. It is always false when d is not 1.
time_series_id	str 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.
time_series_ids	Sequence[str] 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.
seasonal_periods	Sequence[google.cloud.bigquery_v2.types.Model.SeasonalPeriod.SeasonalPeriodType] Seasonal periods. Repeated because multiple periods are supported for one time series.
has_holiday_effect	google.protobuf.wrappers_pb2.BoolValue If true, holiday_effect is a part of time series decomposition result.
has_spikes_and_dips	google.protobuf.wrappers_pb2.BoolValue If true, spikes_and_dips is a part of time series decomposition result.
has_step_changes	google.protobuf.wrappers_pb2.BoolValue If true, step_changes is a part of time series decomposition result.

Inheritance

builtins.object > proto.message.Message > ArimaModelInfo

Methods

__delattr__

__delattr__(key)

Delete the value on the given field.

This is generally equivalent to setting a falsy value.

__eq__

__eq__(other)

Return True if the messages are equal, False otherwise.

__ne__

__ne__(other)

Return True if the messages are unequal, False otherwise.

__setattr__

__setattr__(key, value)

Set the value on the given field.

For well-known protocol buffer types which are marshalled, either the protocol buffer object or the Python equivalent is accepted.