Renku CLI Plugins
renku-mls is a plugin for machine
learning models. Using Renku MLS one can expose the machine learning models
used in Renku projects (e.g. hyper-parameters and evaluation metrics).
It currently supports tracking metadata for
xgboost. It adds custom metadata to the metadata tracked in renku workflows
about models used, hyper-parameters and metrics and adds a
renku mls leaderboard
command to the renku CLI that allows comparing different executions of your
data science pipeline.
renku-graph-vis is a plugin that provides a graphical representation of the renku repository’s knowledge graph. In particular, the plugin enables an interactive graph visualization feature for real-time monitoring during a renku session introducing the ability to have a live overview of the ongoing development. It also provides two CLI commands:
displayto generate a representation of the graph over a png output image
show-graphto start an interactive visualization of the graph over the browser
renku-aqs-annotation is a plugin that intercepts several key astroquery methods and stores a number of dedicated annotations containing information about the calls to these methods (like the arguments used in the call) to the project’s Knowledge Graph.
Developing a plugin?
For more information on developing a plugin, please refer to Plugin Support.
If you are working on a Renku plugin and would like to have it listed here, please create a pull request modifying this document in the renku-python repository.