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Is it possible, for any Python sklearn learning model, to update an already-fitted model? For example, if I have trained my model on a large set of data, is it possible to update the training by introducing new data, or does it have to be retrained every time?

desertnaut
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Falcon72
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    Most models have to be trained from scratch. Some models have `partial_fit()` method meaning you can update it – Sergey Bushmanov Oct 22 '20 at 18:09
  • See the duplicate thread and the [Incremental learning](https://scikit-learn.org/stable/modules/computing.html#incremental-learning) section in the docs. – desertnaut Oct 22 '20 at 20:55

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