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Lightning ⚡️ fast forecasting with statistical and econometric models.

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### Description Hi! I'm new to this library. I cannot find the possible values for each parameter. For example, in https://nixtla.github.io/statsforecast/models.html#autoarima, I can see the defaults, but if I wanted...

This PR includes an experiment comparing `AmazonForecast` and `StatsForecast` using the M5 and M4-Daily datasets.

I want to forward validate several auto AutoARIMA models wrapped in a StatsForecast object (multiple time series). Is there a way to freeze once found optimal auto arima parameters to...

Developments folder contain Ensemble notebook

### What happened + What you expected to happen Hi, I tried to use StatsForecast library for my personal dataframe, following the example with exogenous regressors from this link https://nixtla.github.io/statsforecast/examples/exogenous.html...

bug

I'm trying to fit several models in a group of time series, using the following code: `fcst = StatsForecast(df=Y_train_df, models=[ AutoARIMA(season_length=12), AutoCES(season_length=12), SeasonalNaive(season_length=12), HistoricAverage(), RandomWalkWithDrift(), ], freq='M', n_jobs=-1)` But sometimes...

When passing a `fallback_model` it would be helpful to be able to identify which `unique_id` utilized a `fallback_model`. For instance if you were to attempt to forecast with the `AutoARIMA`...

**Describe the bug** A best practice in python is to setup the main python file in the following way: ``` ... if __name__ == '__main__': ``` However, importing `statsforecast` will...