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Right now it's not possible to fit an ARIMA model to time series in a distributed fashion. It could make sense to add a method to the TimeSeriesRDD class fit_model(model_name, **kwargs) where the kwargs would be fitting parameters.
Alternatively, the ARIMA module could have a fit_each function which accepts a time series RDD and fits a model to each series in it.
The text was updated successfully, but these errors were encountered:
Right now it's not possible to fit an ARIMA model to time series in a distributed fashion. It could make sense to add a method to the TimeSeriesRDD class
fit_model(model_name, **kwargs)
where the kwargs would be fitting parameters.Alternatively, the ARIMA module could have a
fit_each
function which accepts a time series RDD and fits a model to each series in it.The text was updated successfully, but these errors were encountered: