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In my setup, I have begun using use_feat_dynamic_real=True and have included one feature. Training and back-testing using historical features proceed without issues. However, an error occurs during prediction when only historical features are supplied, without providing their future values. The error indicates that dimensions 0 and 2 must be of the same size. Here, dimension 0 appears to include the context step size plus the prediction step, whereas dimension 2 only contains the feature values that correspond to the context step size.
Steps to Reproduce
Execute prediction with at least one dynamic feature, ensuring that only historical feature data is provided. Do not supply future values of the feature, and refrain from methods such as forward-filling or zero-filling.
Error Message or Code Output
Description
In my setup, I have begun using use_feat_dynamic_real=True and have included one feature. Training and back-testing using historical features proceed without issues. However, an error occurs during prediction when only historical features are supplied, without providing their future values. The error indicates that dimensions 0 and 2 must be of the same size. Here, dimension 0 appears to include the context step size plus the prediction step, whereas dimension 2 only contains the feature values that correspond to the context step size.
Steps to Reproduce
Execute prediction with at least one dynamic feature, ensuring that only historical feature data is provided. Do not supply future values of the feature, and refrain from methods such as forward-filling or zero-filling.
Error Message or Code Output
Environment
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