Experiments

Projects are pre-configured with an experiment tracking server, a database to keep track of metadata, and S3 storage for artifacts. Users can track their experiments with different hyperparameters, metrics, and artifacts using mlflow APIs. Please check the mlflow API documentation in different languages including Python, R, and Java. Below we show an experiment with two runs and corresponding artifacts.