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:¶

predictionndarray, pandas.Series or pandas.DataFrame

See self.model.predict