UpliftML is a Python package for scalable unconstrained and constrained uplift modeling from experimental data. To accommodate working with big data, the package uses PySpark and H2O models as base ...
This repository contains tools, templates, and information for assembling, debugging, testing, and running your custom inference models, custom tasks and custom notebook environments with DataRobot.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback