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I have a trained KNN, I created with https://github.com/kevinzakka/blog-code/blob/master/knn/knn.py

I want to add more data points to the KNN but I am on a raspberry pi so limited by RAM and therefore the number of data points I can add at a time to the model.

I have 20k images, I can add 2k at a time. Because of the way scikitlearn works, I cant use the model trained on a Windows PC on the pi (different architectures).

Can I create a model, and then add more data points to it somehow?

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    $\begingroup$ Take a look here: stackoverflow.com/a/28006451/7006323 $\endgroup$
    – bkshi
    Commented Feb 27, 2020 at 5:06
  • $\begingroup$ Maybe try using pickle to store trained models for each iteration and discard the rest of the unwanted data. $\endgroup$
    – Adhira Deogade
    Commented Apr 13, 2020 at 17:26

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Re-estimating parameters with additional data is called online machine learning.

Scikit-learn is not designed for online learning. Scikit-multiflow is designed for online learning.

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