Neptune + Sacred Integration

Neptune is a tool used for experiment tracking, model registry, data versioning, and live model monitoring. This integration lets you use it as a UI (frontend) for the experiments you track in Sacred.

What will you get with this integration?

• Log, display, organize, and compare ML experiments in a single place
• Version, store, manage, and query trained models, and model building metadata
• Record and monitor model training, evaluation, or production runs live

What will be logged to Neptune?

• Hyperparameters
• Losses and metrics
• Training code (Python scripts or Jupyter notebooks) and Git information
• Dataset version
• Model configuration
• Other metadata

Example custom dashboard in the Neptune app

Resources

• Documentation
• Code example on GitHub
• Example dashboard in the Neptune app
• Run example in Google Colab

Example

On the command line:

pip install neptune-sacred

In Python:

import neptune

# Start a run
run = neptune.init_run(
    project = "common/sacred-integration",
    api_token = neptune.ANONYMOUS_API_TOKEN,
)

# Create a Sacred experiment
experiment = Experiment("image_classification", interactive=True)

# Add NeptuneObserver and run the experiment
experiment.observers.append(NeptuneObserver(run=run))
experiment.run()

Support

If you got stuck or simply want to talk to us, here are your options:

• Check our FAQ page
• You can submit bug reports, feature requests, or contributions directly to the repository.
• Chat! When in the Neptune application click on the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP),
• You can just shoot us an email at support@neptune.ai