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AutoTS uses Genetic Algorithm, Other Approach would be Bayesian hyperparameter optimization |
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If you want to implement special parameter sets, you can extend or override the |
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In the original AutoML library, they seemed to create a hyperparameter tuning system for all possible TS algorithms, which is slightly illegible https://github.com/winedarksea/AutoTS/blob/master/autots/models/sklearn.py
Can Sktime auto-implement defaults for each forecaster e.g.
UnobservedComponents
equivalent forAutoETS
orAutoARIMA
? If so, what are the avenues of which it can be done?See also winedarksea/AutoTS#141
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