A data science tool that captures and stores model training and execution information
Purpose
Rubicon is a data science tool that captures and stores model training and execution information, like parameters and outcomes, in a repeatable and searchable way. Rubicon’s git integration associates these inputs and outputs directly with the model code that produced them to ensure full auditability and reproducibility for both developers and stakeholders alike. While experimenting, the Rubicon dashboard makes it easy to explore, filter, visualize, and share recorded work.
Components
Rubicon is composed of three parts:
- A Python library for storing and retrieving model inputs, outputs, and analyses to