MLOps Metadata Store - Experiment Tracking and Model Registry for Production Teams

An interface to Neptune. A metadata store for MLOps, built for teams that run a lot of experiments. It gives you a single place to log, store, display, organize, compare, and query all your model-building metadata. Neptune is used for: • Experiment tracking: Log, display, organize, and compare ML experiments in a single place. • Model registry: Version, store, manage, and query trained models, and model building metadata. • Monitoring ML runs live: Record and monitor model training, evaluation, or production runs live For more information see <>.


Reference manual

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0.2.1 by Rafal Jankowski, 2 days ago

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Authors: Mateusz Dominiak [aut] , Rafal Jankowski [aut, cre]

Documentation:   PDF Manual  

Apache License 2.0 | file LICENSE license

Imports reticulate, this.path, rstudioapi, ggplot2, plotly, htmlwidgets, methods

System requirements: Python (>= 3.0.0), Neptune (

See at CRAN