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 |
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 |
Reference manual: | neptune.pdf |
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 |
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