Designing an IDE for Probabilistic Programming: Challenges and a Prototype
نویسندگان
چکیده
Model & Inference cater to user expertise different levels of feedback Example of Model Feedback beginners: summaries intermediate: plate models experts: debug structure Example of Inference Feedback beginners: confidence intermediate: objective plots experts: samples/messages Language Agnosticism supporting multiple PPLs is key contrast and compare PPLs share debugging interface Intermediate Representation active area of research none exists yet API for PPL Visualization inference execution trace probability distributions graphical version of the model Structure Data & Marginals PPL implies structured data need to visualize structured input to ensure it's correct support task domains such as networks, text, images, etc. Strutured Marginals predictions are also structures, but in fact they are more they are structured marginals! how can we visualize those?
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