Welcome aboard!

Nice to meet you - let's onboard on our journey to switch from algorithms outputs to business outcomes :)

guap, you said?

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

We truly believe that linking business to data science is the more critical aspect to achieve success in AI/ML. So our mission is to align all stakeholders with measurable business outcomes and the trustworthiness of results by including the three core teams — business, data science, and IT — throughout the ML lifecycle. With a product, a data scientist AND an executive will love to use it.

• Make collaboration healthier and clearer between tech and non-tech people

• Make better decisions at every stage of the ML project lifecycle

And it starts with a simple way to estimate the expected profit/cost of a model based on its confusion matrix.

Convinced? Hit the next page to learn how to get started. Hurry up, money don't sleep 🤓

pageInstallation