From the course: Building Recommender Systems with Machine Learning and AI

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Recommender engine walkthrough, part 1

Recommender engine walkthrough, part 1 - Python Tutorial

From the course: Building Recommender Systems with Machine Learning and AI

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Recommender engine walkthrough, part 1

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- [Instructor] At this point you're probably getting a little impatient to start delving into actual recommender algorithms, so I'm not going to spend a ton of time dissecting the code of our recommender system framework, but let's do a quick tour. Start by launching Spyder from your Rexus environment. And open up all of the files inside the Framework folder inside the course materials. Let's work backwards and start from our script that actually uses and tests out this framework. That would be the RecsBakeOff.py file. We start by importing the modules we need. Notably all we need are the recommender algorithms and cells that we want to play with, our MovieLens module that loads our training data, and the Evaluator class we talked about. So the only part of our framework that we really need to understand is the Evaluator module. It hides the complexity of the other modules from us, so we don't have to worry about how our evaluated algorithm or evaluation data modules work. The code…

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