Machine Learning Experiment Tracking

Databricks Machine Learning Experiment tracking is a tool that helps data scientists and machine learning practitioners log and compare their various Machine learning models. The tool provides a single pane of glass to see all the data recorded during experimentation and allows users to easily filter and visualize this data through various lenses. Users can also easily see lineage information about the datasets that were used to train the models. It saves a lot of manual work for data scientists that would otherwise go into building great models and helps them collaborate on their projects with others.