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Discussed Time Series Features #6
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Should a time series have the feature to be shuffled? Because the data has an order, which is also important for a nn model to learn, and I think also statistical models don't want/need the data to be shuffled. The same for sorting rows, because they should always be sorted by the date. |
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Should the time column be transformable? |
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From the perspective of a table it's a normal column. So if the transformation can handle temporal data, there's no reason to exclude it. |
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Based on those questions, you should also consider whether a |
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Yes, I rly dont know a the Moment Right now, when the time_column is a feature in the Tagged_table it will automatically be removed from the features and marked as a time_column in the from_tagged_table()-function. |
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As long as you don't mutate the original |
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When working with time series, you normally always want a time column, which can be the dates or just normal indices called time dummies.
Right now, a user always needs to give specific a time column name, but should a user also be possible to not give a time name, and a time dummie column will generate automatically.
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