I’ve been a data scientist at Stitch Fix for just over a year now. If you’re not familiar with us, we’re an online clothing retailer, and our mission is to help our customers find clothing that they’ll love and that fits them perfectly. …

In the last part, we looked at automated testing with pytest to verify that our API is correctly scoring the model. …

In the last post, we improved the error handling of our prediction API and considered the nuanced decision about which records we should score. In this post, we’ll look at how we can test our API using pytest. Building Prediction APIs in Python (Part 1): Series Introduction & Basic Example Ok, so you’ve trained a model, but now what? All that work is meaningless if no one can use it. In some applications…medium.com

In the initial series post, we created a simple API to score a Scikit-Learn random forest classifier built on the iris dataset. …

Ok, so you’ve trained a model, but now what? All that work is meaningless if no one can use it. In some applications, you can simply create a batch job that will collect the records that need to be scored, prepare them, and the run the model. However, other applications…