Experiments Archives - ML in Production

Tracking Machine Learning Metadata with Sacred Library

A few weeks ago I wrote about why storing metadata is critical for the machine learning process. Since building machine learning models is an iterative process, often involving multiple people and a diverse set of tools, we need the ability… Read More

Storing Metadata from Machine Learning Experiments

Before deploying a machine learning model to production, data scientists spend a large amount of time conducting experiments. These experiments, which include determining which class of models to use and what types of features to include, produce a number of… Read More