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Import and instantiate the models. Setting the `season_length` argument is sometimes tricky. This article on <https://robjhyndman.com/hyndsight/seasonal-periods/|Seasonal periods>) by the master, Rob Hyndmann, can be useful.

<https://robjhyndman.com/hyndsight/seasonal-periods/>

So i have Datapoints of 5 Minutes Frequency for 14 weeks So I should set the season length to 28224?

Just need to access the underlying model via the models_ attribute of MLForecast and plot using LightGBM's function:
`import lightgbm as lgb`

`lgb.plot_importance(mlf.models_['LGBMRegressor'], max_num_features=5)`

Here mlf is the mlforecast class after fitting and max_num_features is the number of the top features to plot.