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Hi everyone, in order to convert my csv file to a format which can be used by the GluonTS library, I will use FieldNames. FEAT_STATIC_CAT , FEAT_STATIC_REAL, FEAT_DYNAMIC_CAT and FEAT_DYNAMIC_REAL are pretty straight forward and easy to understand. But what is the meaning of the following FieldNames and how do they differ to the previous ones? :
Thank you for your help! |
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Hi,
However, if a feature is only available in training and not prediction, some models support Note while many models support I think It appears that |
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Hi,
FEAT_DYNAMIC_REAL
andFEAT_DYNAMIC_CAT
require that features are passed both in training and prediction. For example, if you want to predict demand for an item and use price as a feature, you can provide the price as a dynamic feature. Then for prediction, you need to provide the price to get a prediction.However, if a feature is only available in training and not prediction, some models support
PAST_FEAT_DYANMIC_REAL
. For example, you could use the number of views for an item's webpage as a feature in training. For prediction, you do not pass that information, but still get a forecast.Note while many models support
FEAT_DYNAMIC_REAL
, only few supportPAST_FEAT_DYNAMIC_REAL
. So it's…