Hello everyone, I sometimes see emails where people are asking about training models incrementally. Me and some friends have started a Python library for doing so-called online learning named creme: https://github.com/creme-ml/creme. The code is idiomatic and the API resembles that of sklearn. Online learning is treated as a first class citizen, which makes more practical and efficient than sklearn if online learning is your goal. Each estimator has a fit_one(x, y) method which allows it to train with one observation at a time.
I just presented it at PyData Amsterdam where people seemed enthusiastic about it. The video is not out yet but here are the slides: https://maxhalford.github.io/slides/creme-pydata. Best regards. And congrats on version 0.21! -- Max Halford +336 28 25 13 38
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