This repo contains a few things:
- The slides (presentation.pdf)
- The data and models (data.bdb)
- The code that generated all the diagrams and the insights in the presentation. You'll need to open it as a juypter notebook.
Your best bet is to follow the bayesDB installation instructions: http://probcomp.csail.mit.edu/bayesdb/install.html
- BayesDB: http://probcomp.csail.mit.edu/bayesdb/
- CrossCat: http://probcomp.csail.mit.edu/crosscat/
- The cognition paper on BayesDB: http://shaftolab.com/lab_papers/repository/crosscat.pdf
- The more mathematical paper on BayesDB: http://arxiv.org/pdf/1512.01272v1.pdf