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After applying this chain to construct a test dataset, the tutorial mentions (after cell 39)
The future target is empty but not the features - we always assume that we know the future features!
However, when I inspected the array test_tf_entry['future_target'] it does not appear empty. In fact, I've looked into the implementation of the InstanceSplitter and it's flatmap_transform method does not use the is_train argument in any way. Am I misunderstanding something here or should the future target returned by the transformation chain be indeed empty?
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I recently went over the chapter on Transformations in the extended Extended Forecasting Tutorial. It uses a transformation chain including an
InstanceSplitter
.After applying this chain to construct a test dataset, the tutorial mentions (after cell 39)
However, when I inspected the array
test_tf_entry['future_target']
it does not appear empty. In fact, I've looked into the implementation of theInstanceSplitter
and it'sflatmap_transform
method does not use theis_train
argument in any way. Am I misunderstanding something here or should the future target returned by the transformation chain be indeed empty?Beta Was this translation helpful? Give feedback.
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