Class ArimaSingleModelForecastingMetrics (2.9.0)

Version 2.9.0

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

Model evaluation metrics for a single ARIMA forecasting model.

Attributes

Name	Description
non_seasonal_order	google.cloud.bigquery_v2.types.Model.ArimaOrder Non-seasonal order.
arima_fitting_metrics	google.cloud.bigquery_v2.types.Model.ArimaFittingMetrics Arima fitting metrics.
has_drift	bool Is arima model fitted with drift or not. It is always false when d is not 1.
time_series_id	str The id to indicate different time series.
seasonal_periods	Sequence[google.cloud.bigquery_v2.types.Model.SeasonalPeriod.SeasonalPeriodType] Seasonal periods. Repeated because multiple periods are supported for one time series.

Inheritance

builtins.object > proto.message.Message > ArimaSingleModelForecastingMetrics

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.