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Manifold

May 2020
Assess?

Manifold is a model-agnostic visual debugger for machine learning (ML). Model developers spend a significant amount of time on iterating and improving an existing model rather than creating a new one. By shifting the focus from model space to data space, Manifold supplements the existing performance metrics with a visual characteristics of the data set that influences the model performance. We think Manifold will be a useful tool to assess in the ML ecosystem.