[VIS19 Preview] The What-If Tool: Interactive Probing of Machine Learning Models (vast paper) from mahima mahima Watch Video
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Description: Authors: James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda Viegas, Jimbo WilsonnnAbstract: A key challenge in developing and deploying Machine Learning (ML) systems is understanding their performance across a wide range of inputs. To address this challenge, we created the What-If Tool, an open-source application that allows practitioners to probe, visualize, and analyze ML systems, with minimal coding. The What-If Tool lets practitioners test performance in hypothetica
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