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For example, I would like to train an algorithm on all of the presently available data that I have. I constantly have an incoming stream of new data. I require an algorithm that can train on this new data, while keeping the progress of the original model (too much data to retrain the entire model from scratch every time new data arises).
Do any of the algorithms that this library implements support such "online" training?
The text was updated successfully, but these errors were encountered:
Thank you for the response. For my requirements incremental and online training is synonymous, and the incremental package appears to be exactly what I'm looking for. Thanks.
For example, I would like to train an algorithm on all of the presently available data that I have. I constantly have an incoming stream of new data. I require an algorithm that can train on this new data, while keeping the progress of the original model (too much data to retrain the entire model from scratch every time new data arises).
Do any of the algorithms that this library implements support such "online" training?
The text was updated successfully, but these errors were encountered: