Check the preview of 2nd version of this platform being developed by the open MLCommons taskforce on automation and reproducibility as a free, open-source and technology-agnostic on-prem platform.

Managing software packages (installing tools, registering in ck environments)

module:package (v3.0.2)
License: BSD 3-clause (code) and CC BY-SA 4.0 (data)
Creation date: 2015-03-05
Source: GitHub
cID: 032630d041b4fd8a:1dc07ee0f4742028

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Description  

This is our attempt to share automation actions from scientific research projects as unified Python modules with a common CLI and Python API to help researchers and practitioners reuse best practices. Our on-going project is to make the onboarding process as simple as possible via this platform. Please check this CK white paper and don't hesitate to contact us if you have suggestions or feedback!
  • Automation framework: CK
  • Development repository: ck-ml
  • Source: GitHub
  • How to get the stable version from this portal via the CK client:
    pip install cbench
    cb download module:package --version=3.0.2 --all
    ck help package
  • How to get the development version:
    pip install ck
    ck pull repo:ck-ml
    ck help package
  • CK automation actions (CLI with the Python CK API and JSON IO):
    • ck add package - add package with template (API)
    • ck distribute package - prepare distribution (API)
    • ck install package - install CK package (download a tool if needed, install it, and register environment (API)
    • ck prepare_install_path package - prepare install path for packages (API)
    • ck rebuild_deps package - rebuild dependencies using packages (API)
    • ck reinstall package - reinstall package if already installed (API)
    • ck setup package - setup package (only register environment but do not install it) (API)
    • ck show package - show packages (API)

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