On 19/03/2020 14:19, Farzana Anowar wrote:> Another option is to us deep learning and store the weights for the first model and initialize the second model with that weight and keep doing it for the rest of the models.
This can also be done in scikit-learn with models that support warm_start=True init parameter (including SGDClassifier).
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