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by mahomedalid 2668 days ago
What are the advantages?
1 comments

Trained ML models that run as native code with zero dependencies.
Note though that e.g. liblinear models are trivial to load and apply yourself - most classifiers just compute the matrix-vector product between the weight matrix and an instance vector and take the class with the highest activation. That route has the benefit that you do not hardcode a model, but can easily load new models.

Not to criticize this project. This looks nice and has many useful applications.

Heck, you could even put it into a lambda function on a lambda service and deploy in like 5 min! That is a lot of value.
Yes, you got to the heart of it. *

* owner and main contributor of sklearn-porter

How does the runtime performance compare? (mem/cpu)