[scikit-learn] How to tune parameters when using partial_fit

[lampahome]

I know there's no built-in way to tune parameter batch by batch.

I'm curious about is there any suitable/general way to tune parameters
batch by batch?
Because the distribution is not easy to know when the dataset is too large
to load into memory.
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