Class ArimaResult (2.27.1)

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

(Auto-)arima fitting result. Wrap everything in ArimaResult for easier refactoring if we want to use model-specific iteration results.


arima_model_info Sequence[]
This message is repeated because there are multiple arima models fitted in auto-arima. For non-auto-arima model, its size is one.
seasonal_periods Sequence[]
Seasonal periods. Repeated because multiple periods are supported for one time series.


builtins.object > proto.message.Message > ArimaResult



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

Arima coefficients. .. attribute:: auto_regressive_coefficients

Auto-regressive coefficients, an array of double.

:type: Sequence[float]


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

Arima model information. .. attribute:: non_seasonal_order

Non-seasonal order.





Delete the value on the given field.

This is generally equivalent to setting a falsy value.



Return True if the messages are equal, False otherwise.



Return True if the messages are unequal, False otherwise.


__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.