How to make wise choices in selecting #libraries
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Choosing a library is like choosing a wife, you have to stick with it and often changing one involves complicated process that is very expensive. So the best way to do this by analysis.Now a days most analysis of libraries involve the features of the library. So we won’t get into that. We will go through this problem by example choosing a model server library for machine learning. A model server library allows you to easily make a server for your machine learning model.Select the library which gives you the most featuresThis is a fairly obvious choice picking the one that gives you the most features. You look at your requirements and you see the library which gives you the minimal features you need.So i have shortlisted 4 libraries:Tensorflow servingClipper.aiModel Aerver for Apache (...)