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So why do I use yhat? Won't this run quite well locally?

It's not too hard to imagine a user group that is good at predictive modeling, but bad at setting up a reliable service (mathmaticians, statisticians, other similar disciplines). These users may be familiar with R or numpy, but unable to build a web API quickly.

you're right it does work locally.

yhat is built for embedding these types of analyses in a production application

Couldn't you also serialize the resulting model to JSON (including weights/values), stick that JSON hard-coded into your source, and deserialize at runtime to execute the model? This is how I typically deploy neural networks and other machine learning models.

For example, http://colorbot.herokuapp.com stores the optimal model for the neural network in JSON, right in the code.

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