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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