Introduction to MLflow

MLflow is a great open source tool that allows you to track your model runs, including model parameters, metrics, results, data used, and your code. MLflow also has many other capabilities such as deploying models, packaging your code for reproducibility, and storing your models. For this introduction, we will focus on tracking our model runs with MLflow. Tracking your model runs can be very useful in order to see the differences model performance based on the parameters and data used for each run. In this tutorial, we will integrate MLflow into our machine learning workflow.