This package contains many modules and classes necessary to construct the ml pipeline for machine learning competitions.
To generate pytest coverage report run
python -m pytest --cov=agogos --cov-report=html:coverage_re
Documentation is generated using Sphinx.
To make the documentation, run make html with docs as the working directory. The documentation can then be found in docs/_build/html/index.html.
Here's a short command to make the documentation and open it in the browser:
cd ./docs/;
./make.bat html; start chrome file://$PWD/_build/html/index.html
cd ../
FAQs
Package that creates the underlying construction of a machine learning pipeline
We found that agogos demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
Security News
The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.