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This PR adopts new behavior for the time series forecasting pipeline.
In the case where a preprocessor (feature_extractor) is available and passed to the pipeline, it will be used to both scale the inputs and inverse scale the outputs. Previously, only inverse scaling was done -- making it the responsibility of the caller to pre-scale the data if needed.
If no preprocessor is passed to the pipeline, behavior remains unchanged.
Miscellaneous fixes: