RAMP packages

RAMP packages offer versatile tools to define, build and optimize machine learning workflows via data challenges, great for prototyping models in your data science team.

Install RAMP bundle

All RAMP packages are available on PyPI and can be easily installed using pip

$ pip install ramp-workflow ramp-frontend ramp-database ramp-engine ramp-utils

The RAMP ecosystem contains two organizations and two libraries. The purpose of the bundle is to define, build, manage, and optimize data analytics workflows, typically on the top of open source machine learning libraries like pandas, scikit-learn, and keras. The bundle consists of

Library/Organisation	Purpose	Publicly available
ramp-workflow	A set of reusable tools and scripts to define score types (metrics), workflow elements, prediction types and data connectors.
ramp-board	A library managing the frontend and the database of the RAMP platform.
ramp-data	An organization containing data sets on which workflows are trained and evaluated.
ramp-kits	An organization containing starting kits that use tools from ramp-workflow to implement a first valid (tested) workflow.