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Manifold: A model-agnostic visual debugging tool for machine learning (2019)
- dennisy 7y agoReading that whole post just looking forward to the github link. I was sorely disappointed ️
- yanovskishai 7y agohttps://github.com/uber/manifold https://github.com/uber/manifold
- joelthelion 7y agoOne thing that seems to be missing is a way to straightforwardly look at individual examples of data points in each cluster. Oftentimes looking at a few images (if that's what you're classifying) helps a lot more than staring at feature distribution plots.
- yanovskishai 7y agoIt was exactly what I thought. Especially they explicitly say >"With Manifold’s design, we turned the traditional ML model visualization challenge on its head. Instead of inspecting models, we inspect individual data points " It really seems that they went on implanting the more sophisticated step (which seems very promising), while skipping the straight forward one. What am I missing?
- MrPoufPouf 7y agoSounds like what What-It Tool (https://pair-code.github.io/what-if-tool/ https://pair-code.github.io/what-if-tool/) provides.