3 ms·
What are the advantages?
by mahomedalid 8y ago
What are the advantages?
- leetbulb 8y agoTrained ML models that run as native code with zero dependencies.
- TuringNYC 8y agoHeck, 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.
- danieldk 8y agoNote 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.
- darius_morawiec 8y agoYes, you got to the heart of it. * * owner and main contributor of sklearn-porter
- rob_fulwell 8y agoHow does the runtime performance compare? (mem/cpu)