AutoARIMA predict_in_sample

• Added predict_in_sample method for AutoARIMA.
• Users can now compute in sample forecasts including prediction intervals.

AutoARIMA class

• Now: Good Ol' sklearn syntax with model = AutoARIMA(); model.fit(y); model.predict(10).
• Bug fixes.

Prediction intervals for AutoARIMA

Notable changes

• Inclusion of prediction intervals for auto_arima.
• statsforecast is now installable from conda-forge (conda install -c conda-forecast statsforecast, thanks to @sugatoray).

Exogenous variables for AutoARIMA

Notable changes

• Inclusion of exogenous variables for auto_arima.
• The StatsForecast class now handles exogenous variables.
• This release allows developers to include more models that use exogenous variables.
• Bug fixes.