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Home Authors Posts by Lezhi Li

Lezhi Li

3 BLOG ARTICLES 1 RESEARCH PAPERS
Lezhi Li is a software engineer on Uber's Machine Learning Platform team.

Engineering Blog Articles

Open Sourcing Manifold, a Visual Debugging Tool for Machine Learning

In January 2019, Uber introduced Manifold, a model-agnostic visual debugging tool for machine learning that we use to identify issues in our ML models. To give other ML practitioners the benefits of this tool, today we are excited to

Uber Visualization Highlights: Displaying City Street Speed Clusters with SpeedsUp

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Uber’s Data Visualization team builds software that enables us to better understand how cities move through dynamic visualizations. The Uber Engineering Blog periodically highlights visualizations that showcase how these technologies can turn aggregated data into actionable insights.

 

For SpeedsUp,

Manifold: A Model-Agnostic Visual Debugging Tool for Machine Learning at Uber

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Machine learning (ML) is widely used across the Uber platform to support intelligent decision making and forecasting for features such as ETA prediction and fraud detection. For optimal results, we invest a lot of resources in developing accurate predictive

Research Papers

Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models

J. Zhang, Y. Wang, P. Molino, L. Li, D. Ebert
Interpretation and diagnosis of machine learning models have gained renewed interest in recent years with breakthroughs in new approaches. We present Manifold, a framework that utilizes visual analysis techniques to support interpretation, debugging, and comparison of machine learning models in a more transparent and interactive manner. [...] [PDF]
IEEE Visualization (IEEE VIS), 2018

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