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Engineering

Open Sourcing Manifold, a Visual Debugging Tool for Machine Learning

January 7, 2020 / Global
Featured image for Open Sourcing Manifold, a Visual Debugging Tool for Machine Learning
Figure 1. Manifolds new upgrades include visualization support for geo-spatial features.
Figure 2. Manifold’s Jupyter Notebook integration accepts data input as Pandas DataFrame objects and renders the visualization in the Jupyter Notebook UI.
Figure 3. Interactive data slicing based on per-instance prediction loss and feature values allow Manifold practitioners to better understand ML model performance issues.
Lezhi Li

Lezhi Li

Lezhi Li is a software engineer on Uber's Machine Learning Platform team.

Posted by Lezhi Li

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