I am working on an evaluation of time series forecasting models in Python, more specifically with
tensorflow. I think it makes sense to first compare the model performance to a set of "trivial" models.
- What are examples of such baseline models typically used?
- Are there existing implementations? (E.g., is there something analogous to scikit-learn DummyClassifier for time series forecasts?)