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Active Learning Improvements #254

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sonalgoyal opened this issue May 11, 2022 · 0 comments

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sonalgoyal commented May 11, 2022

Knowing when to stop labeling is important to building the right models. To help the user, here are a few ideas

expose model metrics like accuracy and confusion matrix. These can go as part of the documentation
see if changing sample size leads to better experience and accuracy
stratified sampling instead of sampling around 0.5? We had a case where the model went rogue and took a longer cycle to converge

sonalgoyal added this to the 0.3.5 milestone

sonalgoyal self-assigned this

sonalgoyal modified the milestones: 0.3.5, 0.3.4

sonalgoyal modified the milestones: 0.3.4, 0.3.5

sonalgoyal removed this from the 0.3.5 milestone

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