Online Algorithms are variants of the more common "batch variants" we typically use which are capable of incrementally learn when presented with new training data points. This means they typically perform slightly less well than batch counterparts, but take a lot less RAM and can be easily re-trained even when in production:
dvas0004
commented
5 years ago
Online Algorithms are variants of the more common "batch variants" we typically use which are capable of incrementally learn when presented with new training data points. This means they typically perform slightly less well than batch counterparts, but take a lot less RAM and can be easily re-trained even when in production:
Link: https://creme-ml.github.io/