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 < https://neptune.ai/>.


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install.packages("neptune")

0.2.1 by Rafal Jankowski, 2 days ago


https://github.com/neptune-ai/neptune-r


Report a bug at https://github.com/neptune-ai/neptune-r/issues


Browse source code at https://github.com/cran/neptune


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 (https://neptune.ai/)


See at CRAN