Neptune.ai sacred integration library
Project description
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
Project details
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