Class ArimaFittingMetrics (2.21.0) 

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

ARIMA model fitting metrics. .. attribute:: log_likelihood

Log-likelihood.

:type: float

Attributes

NameDescription
aic float
AIC.
variance float
Variance.

Inheritance

builtins.object > proto.message.Message > ArimaFittingMetrics

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.