This is the repo of the visualization software he demo'd. Not sure how accessible it would be to run locally, but I saw the demo in person and it was pretty cool: https://github.com/dollabs/planviz
Systems like Anglican perform Bayesian inference in user-defined models, which are expressed as programs in a general-purpose language – in our case a subset of Clojure. An inference back end then implements a number of generic sampling-based algorithms like Metropolis-Hastings, sequential Monte Carlo and black box variational inference.
From the description, PAMELA provides a probabilistic version of a process modeling language. This is a concept that I'm personally not familiar with, but the intended use case appears to be the modeling of control systems, where inference is performed over some form of latent states in the control process:
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[ 62.0 ms ] story [ 1048 ms ] thread("IDE for Quadcopters" would be the catchy, soundbitey name)
[Edit: Just got turned private. If/when it returns, it’ll be here: https://www.youtube.com/channel/UCaLlzGqiPE2QRj6sSOawJRg ]
I'm going to redo the demo and screen capture the video and splice it in somehow.
I'll post again here with an update.
--Tom
How would this compare to Anglican? (not so much in actual state of the library now, but in goals)
http://www.robots.ox.ac.uk/~fwood/anglican/
Systems like Anglican perform Bayesian inference in user-defined models, which are expressed as programs in a general-purpose language – in our case a subset of Clojure. An inference back end then implements a number of generic sampling-based algorithms like Metropolis-Hastings, sequential Monte Carlo and black box variational inference.
From the description, PAMELA provides a probabilistic version of a process modeling language. This is a concept that I'm personally not familiar with, but the intended use case appears to be the modeling of control systems, where inference is performed over some form of latent states in the control process:
http://www.ai.mit.edu/projects/ddamba/publications/RMPL.pdf
I'd be interested to hear from one of the devs!
https://youtu.be/WLovW6hlYHM
--Tom