updating machine learning model
We'll Do It Live: Updating Machine Learning Models on Flask/uWSGI with No Downtime
Flask is one of the most popular REST API frameworks used for hosting machine learning (ML) models. The choice is heavily influenced by a data science team's expertise in Python and the reusability of training assets built in Python. At WW, Flask is used extensively by the data science team to serve predictions from various ML models. However, there are a few considerations that need to be made before a Flask application is production-ready. If Flask code isn't modified to run asynchronously, it only can run one request per process at a time.
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