How to add data points to a trained KNN

Question

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?

Take a look here: https://stackoverflow.com/a/28006451/7006323 — bkshi, Feb 27 '20 at 05:06
Maybe try using pickle to store trained models for each iteration and discard the rest of the unwanted data. — Adhira Deogade, Apr 13 '20 at 17:26

score 1 · Answer 1 · answered Mar 22 '20 at 16:07

1

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.

answered Mar 22 '20 at 16:07

Brian Spiering

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How to add data points to a trained KNN

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