statsmodels.base.distributed_estimation.DistributedResults.predict¶

DistributedResults.predict(exog, *args, **kwargs)[source]¶

Calls self.model.predict for the provided exog. See Results.predict.

Parameters:

exogarray_like NOT optional: The values for which we want to predict, unlike standard predict this is NOT optional since the data in self.model is fake.
*args: Some models can take additional arguments. See the predict method of the model for the details.
**kwargs: Some models can take additional keywords arguments. See the predict method of the model for the details.

Returns: