Running large numbers of models/configs etc to explore a problem can easily get overwhelming. This problem is shared with creating/tuning machine learning systems and I am aware of at least one tool that attempts to help with it: ML Flow (https://mlflow.org/)
- Are there other packages that people particularly like/don’t like etc…?
- Any feedback on MLFlow appreciated. My initial experiments in a Databricks environment seem ok. Does anyone have experience with MLFlow?