Models modify given dataset in forecast
and predict
#549
d-a-bunin
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Description
Currently, methods
forecast
andpredict
of models return forecasted dataset as a result. However, some models also modify the given dataset inplace, e.g.CatBoostMultiSegmentModel
SeasonalMovingAverageModel
Some other models create a new dataset with forecasting results, e.g.:
RNNModel
TFTNativeModel
This problem isn't so pronounced for transforms, because we document that each transform modifies dataset inplace.
Thoughts
We could at least document behavior for different models properly.
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