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Darts can be used to train ML-based forecasting models on tens of thousands of time series in a few lines of code only. Such a model can then be used for fast inference (e.g., it takes 1-2 seconds to forecast 1,300 time series in some of the experiments we conducted). Here is a completely self-contained notebook with an example of how to do this on large datasets with different kinds of models: https://github.com/unit8co/darts/blob/master/examples/14-transfer-learning.ipynb
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