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neptune: 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/>.

Version: 0.2.3
Imports: reticulate (≥ 1.22), this.path (≥ 0.4.4), rstudioapi (≥ 0.7), ggplot2 (≥ 3.3.5), plotly (≥ 4.9.4.1), htmlwidgets (≥ 1.5.3), methods
Published: 2022-04-13
DOI: 10.32614/CRAN.package.neptune
Author: Mateusz Dominiak [aut], Rafal Jankowski [aut, cre]
Maintainer: Rafal Jankowski <rafal.jankowski at neptune.ai>
BugReports: https://github.com/neptune-ai/neptune-r/issues
License: Apache License 2.0 | file LICENSE
URL: https://github.com/neptune-ai/neptune-r
NeedsCompilation: no
SystemRequirements: Python (>= 3.0.0), Neptune (https://neptune.ai/)
Materials: README
CRAN checks: neptune results

Documentation:

Reference manual: neptune.pdf

Downloads:

Package source: neptune_0.2.3.tar.gz
Windows binaries: r-devel: neptune_0.2.3.zip, r-release: neptune_0.2.3.zip, r-oldrel: neptune_0.2.3.zip
macOS binaries: r-release (arm64): neptune_0.2.3.tgz, r-oldrel (arm64): neptune_0.2.3.tgz, r-release (x86_64): neptune_0.2.3.tgz, r-oldrel (x86_64): neptune_0.2.3.tgz
Old sources: neptune archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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