Skip to main content

No project description provided

Project description


From algorithms outputs to business outcomes.

guap is an open-source python package that helps data team to get an ML evaluation metrics everyone can agree on by converting your model output to business outcomes, a.k.a. profits.

🤖 🪄 📈

Made with love py version version

🧞‍♂️ Why should I use guap?

Our mission with guap is to align all stakeholders with measurable business outcomes by including the three core teams — business, data science and IT — throughout the life cycle of the AI models.

  • Make collaboration healthier and clearer between tech and non-tech people
  • Make better decisions at every stage of the ML project lifecycle

Want to know more? Read Why guap exist.

✨ Features

We're on the journey to make sure every ML use-case that go to production is a valuable one. And it starts with a simple way to estimate the expected profit/cost of a model based on its confusion matrix.

  • Get the total profit Based on the test set, guap will give you the total expected profit based on the cost matrix. A great way to have an overview of the model profitability.
  • Average profit per prediction Along the total profit score, guap will give you the average profit/cost per prediction. Perfect if you have costs per prediction, or if you need to estimate the profitability while scaling.

That's it...for now! Keep up-to-date with release announcements on Twitter @guap_ml!

🪄 Quickstart Install

First install the package using pip

pip install guap

Then, you can follow our instructions using the Google Colab demo. We're writing the documentation right now.

⌛ Status

  • Alpha: We are demoing guap to users and receiving feedback
  • Private Beta
  • Public Beta
  • Official Launch

Watch "releases" of this repo to get notified of major updates, and give the star button a click whilst you're there.

🙏 Contributing

Pull requests are welcome. You don't know where to start? let's talk @guap_ml!

💖 License

Apache License 2.0

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

guap-0.1.4.tar.gz (7.8 kB view hashes)

Uploaded source

Built Distribution

guap-0.1.4-py3-none-any.whl (11.9 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page