Automatically track LightGBM model training progress to Neptune

  • Log LightGBM metrics to Neptune
  • Analyse learning curves in Neptune and share with others
  • Compare across multiple experiments
Experiments tracking
Experiments sharing in the team
Experiments comparison
Notebooks tracking and sharing
Notebooks comparison
Team management
Open source integrations
Hardware monitoring for experiments
Interactive experiments dashboard

LightGBM metrics logged to Neptune automatically

Experiment tracking tool with open source integration with LightGBM, to automatically log metrics.

Prepare LightGBM training and validation code as usual. Then, use neptune_monitor to automatically track metrics during training. Neptune visualizes them as interactive charts.

Easy logging

  • Log metrics, text, images, files and more to the experiments.
  • Log experiment parameters.
  • Easy integration with Python libraries.

Shareable visualizations

  • All charts visible for team members.
  • Compare across multiple experiments and gain insight.
  • Download charts from UI.

Backed up experiments history

  • All visualizations are stored and secured.
  • Keep all history – review when needed.
  • Secured Intellectual Property (IP).

Register and try it out!