statsmodels.base.distributed_estimation.DistributedModel.fit_sequential¶
-
DistributedModel.
fit_sequential
(data_generator, fit_kwds, init_kwds_generator=None)[source]¶ Sequentially performs the distributed estimation using the corresponding DistributedModel
- Parameters
- data_generatorgenerator
A generator that produces a sequence of tuples where the first element in the tuple corresponds to an endog array and the element corresponds to an exog array.
- fit_kwdsdict-like
Keywords needed for the model fitting.
- init_kwds_generatorgenerator or
None
Additional keyword generator that produces model init_kwds that may vary based on data partition. The current usecase is for WLS and GLS
- Returns
join_method
result.For
the
default
,_join_debiased
,it
returns
a
p
length
array.