SOTAVerified

Model Development Process

2019-07-09Code Available0· sign in to hype

Przemyslaw Biecek

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

Predictive modeling has an increasing number of applications in various fields. High demand for predictive models drives creation of tools that automate and support work of data scientist on the model development. To better understand what can be automated we need first a description of the model life-cycle. In this paper we propose a generic Model Development Process (MDP). This process is inspired by Rational Unified Process (RUP) which was designed for software development. There are other approached to process description, like CRISP DM or ASUM DM, in this paper we discuss similarities and differences between these methodologies. We believe that the proposed open standard for model development will facilitate creation of tools for automation of model training, testing and maintaining.

Tasks

Reproductions