showing how to log folder structure in mlflow

artifact_viewer_folders.py

"""
the output directory is prepared before logging:
├── output
│   ├── data
│   │   ├── data_sample.csv
│   │   └── data_sample.html
│   ├── images
│   │   ├── gif_sample.gif
│   │   └── image_sample.png
│   ├── maps
│   │   └── map_sample.geojson
│   └── plots
│       └── plot_sample.html
"""
### log files to mlflow experiment
with mlflow.start_run(experiment_id=1, run_name="folders") as run:
    
    mlflow.log_param("parasmeter","test")
    mlflow.log_metric("the_answer",42.0)
    
    # if the logged artifact is a folder, 
    # then it will also show as a folder in mlflow
    mlflow.log_artifact("./output/images")
    mlflow.log_artifact("./output/plots")
    mlflow.log_artifact("./output/data")
    mlflow.log_artifact("./output/maps")