Demo on tools for managing the statistical generalization power of machine learning datasets by Cedric Renggli and Frances Hubis accepted at VLDB 2019

One more demo has been accepted at VLDB 2019, Los Angeles, CA, USA,  August 26-30, 2019.

"Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization" by Cedric Renggli (ETH Zurich), Frances Ann Hubis (ETH Zurich), Bojan Karlaš (ETH Zurich), Kevin Schawinski (Modulos AG), Wentao Wu (Microsoft Research), Ce Zhang (ETH Zurich).